Vaishnavee Rathod | Analysis | Best Researcher Award

Ms. Vaishnavee Rathod | Analysis | Best Researcher Award

Research Scholar, Department of Computer Science Engineering SVNIT SURAT INDIA India

Vaishnavee Vijay Rathod is a Ph.D. candidate at SVNIT Surat, focusing on remote sensing and deep learning. She has earned her B.E., M.Tech., and is currently pursuing her Ph.D., with a specialized focus on satellite imaging, machine learning, and image processing. Vaishnavee has published multiple papers in renowned journals and conferences, contributing significantly to the fields of medical image analysis, remote sensing, and AI-based systems. She has also received recognition for her work, including the Best Paper Award at an international conference in 2020. Her innovative research on vehicle detection using computer vision and AI has gained attention in smart city development.

 

Publication Profile

Scopus Scholar

🎓 Education

Vaishnavee completed her B.E. in Electronics and Telecommunication in 2018 from Thakur College of Engineering and her M.Tech. in Electronics and Digital Image Processing from GHRIET Nagpur in 2020. She is currently pursuing a Ph.D. in Satellite Imaging and Deep Learning at SVNIT Surat, specializing in deep learning-driven satellite image classification. Throughout her academic journey, she has achieved distinction and published several research papers in prominent conferences and journals.

💼 Experience

Vaishnavee has significant experience as a research scholar in deep learning and image processing. Her Ph.D. research includes the development of models for satellite image analysis and AI-based vehicle detection systems using UAV data. She has contributed to over 10 publications, including SCI-indexed journals and prestigious conferences. Additionally, Vaishnavee has been a recipient of several project funding awards, including SSIP 2.0 funding for her “RoadMitra” AI-based system project, showcasing her expertise in smart city technologies.

🏆 Awards & Honors

Vaishnavee has been recognized for her research contributions, including the “Best Paper Award” at the International Conference on Engineering Systems Design and Optimization in 2020. She has received various honors, including funding under SSIP 2.0 for her smart city project “RoadMitra,” aimed at detecting road issues using UAVs. Additionally, she has won awards for her research excellence and has received numerous accolades for her participation in international conferences and workshops.

🔬 Research Focus

Vaishnavee’s research focuses on the intersection of satellite imaging, remote sensing, and deep learning. She works on developing deep learning models for efficient satellite image classification and vehicle detection systems using UAV technology. Her work also extends to image enhancement, biomedical image processing, and AI applications in smart city infrastructure. Vaishnavee’s research contributes to the development of innovative solutions for urban challenges, including road crack detection, traffic analysis, and the enhancement of healthcare technologies using AI.

Publication Top Notes

  • Title: Deep learning-driven UAV vision for automated road crack detection and classification
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Journal: Nondestructive Testing and Evaluation (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization
    • Authors: Rathod, V., Rana, D., Mehta, R.
    • Journal: Journal of the Indian Society of Remote Sensing (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: A computer vision approach to vehicle detection, classification, and tracking from UAV data for Indian traffic analysis
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G., Nath, V.
    • Journal: IETE Journal of Research (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: An Extensive Review of Deep Learning Driven Remote Sensing Image Classification Models
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Conference: Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT 2022)
    • Citations: 4

 

Nidhi Sinha | Cognitive Psychology | Young Scientist Award

Ms. Nidhi Sinha | Cognitive Psychology | Young Scientist Award

PhD in Psychology, Indian Institute of Technology Hyderabad (IITH), India

Nidhi Sinha is a Cognitive Psychologist pursuing a Ph.D. at IIT Hyderabad, specializing in emotion perception using virtual reality and physiological measures. Her academic journey began with an M.Phil. in Psychology at IIT Hyderabad, where she earned the Institute Silver Medal. Nidhi has worked as a visiting research scholar and research volunteer, contributing to cognitive science projects at IIIT Hyderabad and the University of Hyderabad. She has extensive experience working on emotional perception, cognitive development, and mental health, with a focus on psychosis, emotion recognition, and VR applications. Nidhi’s research aims to explore the intersection of cognitive processes and mental health using innovative tools like VR and EDA. She has also contributed to various publications and conferences on mental health, attention networks, and cognitive biases.

Publication Profile

Google Scholar

🎓 Education

Nidhi Sinha holds a Ph.D. in Cognitive Psychology from IIT Hyderabad, where she conducted research on emotion perception using virtual reality and physiological measures. She also earned an M.Phil. in Psychology from IIT Hyderabad, securing an impressive CGPA of 9.75 and receiving the Institute Silver Medal. Nidhi’s journey in higher education began with a Master of Arts in Applied Psychology from Lovely Professional University (LPU), where she achieved a CGPA of 9.96 and was awarded the University Gold Medal. Her academic pursuits have revolved around cognitive sciences, emotion recognition, and mental health. Nidhi has also contributed to various research projects and gained hands-on experience through internships and collaborations with renowned institutions like the University of Hyderabad and IIIT Hyderabad. This strong academic foundation has paved the way for her innovative research and publications in the field of cognitive psychology.

💼 Experience

Nidhi Sinha’s research and teaching experience spans multiple esteemed institutions. As a Ph.D. candidate at IIT Hyderabad, Nidhi has focused on emotion perception and attentional control, collaborating with leading scientists in the field. Her role as a visiting research scholar at IIIT Hyderabad’s Cognitive Science Lab allowed her to delve deeper into understanding the cognitive aspects of emotional processing. Nidhi’s experience also includes internships at the University of Hyderabad’s Center for Neural and Cognitive Sciences, where she honed her skills in experimental techniques like eye tracking. She has worked on projects involving mental health at ASHA Hospital and has contributed to clinical research at NIMHANS, where she provided Cognitive Behavioral Therapy (CBT). Additionally, Nidhi has volunteered for research projects in user engagement at IIT Hyderabad’s Department of Computer Science and has served as a teaching assistant, assisting in preparing lectures and academic assessments for postgraduate courses.

🏆 Awards & Honors

Nidhi Sinha has earned numerous accolades for her outstanding academic achievements and contributions to research. She was awarded the Institute Silver Medal for her exceptional performance in M.Phil. Psychology at IIT Hyderabad. Nidhi also received the University Gold Medal during her Master’s in Applied Psychology at LPU, where she achieved the highest CGPA of 9.96. In recognition of her groundbreaking work, Nidhi was honored with the “Early Career Research Award” from the Science and Engineering Research Board (SERB) in 2017. Her significant contributions to mental health research have earned her several opportunities to collaborate internationally. Nidhi’s research has been featured in prestigious journals, and she has presented her work at multiple conferences. Her dedication to advancing knowledge in cognitive psychology and mental health earned her recognition as an expert reviewer for various academic platforms, including APS, Psychosis, and IGI Publishers.

🔬 Research Focus

Nidhi Sinha’s research focuses on emotion perception, cognitive processes, and mental health, particularly within the realms of cognitive psychology and affective computing. Her Ph.D. research at IIT Hyderabad explores how virtual reality (VR) and physiological measures, such as electrodermal activity (EDA) and photoplethysmogram (PPG), can assess emotional responses in individuals. She is particularly interested in how attention networks are disrupted in mood disorders like depression and how these cognitive networks influence emotional regulation. Nidhi’s work has also extended to understanding the experiences of individuals with auditory verbal hallucinations (AVH), a common symptom in psychiatric conditions like schizophrenia. By using tools like VR, EDA, and eye tracking, Nidhi investigates how cognitive biases and attentional control mechanisms contribute to mental health disorders. Her research aims to innovate psychological assessments and improve mental healthcare by integrating modern technologies, such as VR, with traditional diagnostic tools. Nidhi has contributed to various interdisciplinary research projects, focusing on improving cognitive assessments in clinical settings.

📝Conclusion

Nidhi Sinha’s strong academic and research credentials, coupled with her interdisciplinary approach and innovative contributions to cognitive psychology and technology, make her an excellent candidate for the Young Scientist Award. Her research has the potential to significantly impact the fields of mental health and emotion recognition, particularly in integrating virtual reality and physiological measures. With continued growth in interdisciplinary collaborations and global research visibility, she is poised to make even more significant contributions to the scientific community.

Publication Top Notes

  • Title: Stress and worry in the 2020 coronavirus pandemic: Relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey
    Authors: A Lieberoth, SY Lin, S Stöckli, H Han, M Kowal, R Gelpi, S Chrona, et al.
    Journal: Royal Society Open Science
    Volume & Issue: 8 (2), 200589
    Year: 2021
  • Title: COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
    Authors: Y Yamada, DB Ćepulić, T Coll-Martín, S Debove, G Gautreau, H Han, et al.
    Journal: Scientific Data
    Volume & Issue: 8 (1), 3
    Year: 2021
  • Title: Introducing gamification for advancing current mental healthcare and treatment practices
    Author: N Sinha
    Book Title: IoT in Healthcare and Ambient Assisted Living, 223-241
    Year: 2021
  • Title: What networks of attention are affected by depression? A meta-analysis of studies that used the attention network test
    Authors: N Sinha, S Arora, P Srivastava, RM Klein
    Journal: Journal of Affective Disorders Reports
    Volume & Issue: 8, 100302
    Year: 2022
  • Title: Affective computing and emotion-sensing technology for emotion recognition in mood disorders
    Author: N Sinha
    Book Title: Enhanced Telemedicine and e-Health: Advanced IoT Enabled Soft Computing
    Year: 2021
  • Title: Understanding the effects of unemployment in Indian graduates: Psychological, financial and social perspectives
    Author: N Sinha
    Journal: Psychological Studies
    Volume: 63, 315-324
    Year: 2018
  • Title: Using virtual reality in college student mental health treatment
    Author: N Sinha
    Book Title: Current and Prospective Applications of Virtual Reality in Higher Education
    Year: 2021
  • Title: Living with voices: A thematic analysis of individuals’ experiences of voice-hearing in India
    Authors: N Sinha, S Ranganathan
    Journal: Psychosis
    Volume & Issue: 12 (2), 115-127
    Year: 2020
  • Title: Global Mental Health Movement: Need for a cultural perspective
    Author: N Sinha
    Journal: Indian Journal of Medical Ethics
    Year: 2023
  • Title: Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies
    Authors: N Sinha, P Srivastava, MP Ganesh
    Book Title: Affective Computing for Social Good: Enhancing Well-being, Empathy, and …
    Year: 2024
  • Title: Student Notebook: Beginning Your Collaborative Writing Journey
    Author: N Sinha
    Journal: APS Observer
    Volume: 36
    Year: 2023
  • Title: An evaluation on existential crisis of Filipinos during the COVID-19 pandemic crisis
    Authors: Y Yamada, DB Ćepulić, T Coll-Martín, S Debove, G Gautreau, H Han, et al.
    Journal: Frontiers in Psychology
    Year: 2021
  • Title: Political Cognition: The Unconscious Mechanisms Underlying Political Beliefs and Action
    Author: N Sinha
    Book Title: The Psychology of Political Behavior in a Time of Change, 235-246
    Year: 2021
  • Book Review: J. Bargh: Before You Know It: The Unconscious Reasons We Do What We Do
    Author: N Sinha
    Journal: Psychological Studies
    Volume & Issue: 65 (1), 97-99
    Year: 2020
  • Title: Women in the asylum: Understanding the medicalization and kinship in Indian psychiatric care
    Author: N Sinha
    Journal: Journal of Community & Applied Social Psychology
    Volume & Issue: 28 (5), 378-381
    Year: 2018
  • Title: Listening To The Voices: A Qualitative Study Of The Experiences Of Hearing Voices In Individuals With Auditory Hallucinations
    Authors: N Sinha, S Ranganathan
    Institution: Indian Institute of Technology Hyderabad
    Year: 2018

 

 

 

 

 

 

Nadeem Akhtar | Mathematics | Best Researcher Award

Dr. Nadeem Akhtar | Mathematics | Best Researcher Award

Dr at Higher Education Department Khyber Pakhtunkhwa,  Pakistan

Nadeem Akhtar, a graduate of Quaid-I-Azam University Islamabad, holds an M.Phil from the University of Peshawar. He completed his doctoral research under the supervision of Dr. Sajjad Ahmad Khan and Dr. Muhammad Amin NIFA. Specializing in Bayesian Estimations, Categorical Data Analysis, Censored Data, Regression, and Experimental Design, he has published extensively in academic journals. Nadeem currently serves as an Associate Professor in the Khyber Pakhtunkhwa Higher Education Archives & Libraries Department.

Publication profile

🎓 Education

Dr. Akhtar earned his Ph.D. in Statistics from Islamia College, Peshawar, Pakistan (2018-2021). He also holds an M.Phil. in Statistics from the University of Peshawar (2004-2006), an M.Sc. in Statistics from Quaid-I-Azam University, Islamabad (2000-2001), and a B.Sc. from Gomal University, D.I. Khan (1997-1999). His academic journey reflects a strong foundation in statistical principles and methodologies.

💼 Experience

Dr. Akhtar has extensive experience in the Higher Education Department of Khyber Pakhtunkhwa, Pakistan. He has served as an Associate Professor since May 2019, previously holding positions as an Assistant Professor (2011-2019) and a Lecturer in Statistics (2005-2011). His dedication to teaching and research has made significant contributions to the field of statistics in Pakistan.

🏅 Awards and Honors

Dr. Akhtar’s work has been recognized through various accolades, including multiple research publications in reputable journals. He is also involved in peer review activities for esteemed journals such as Kuwait Journal of Science and AIP Advances, demonstrating his commitment to advancing statistical research and education.

🔬 Research Focus

Dr. Akhtar’s research primarily focuses on Bayesian estimation methods, statistical modeling, and analysis of unemployment among educated segments in Pakistan. His publications reflect his expertise in quantitative performance analysis and life testing models, contributing valuable insights to the field of statistics and its applications in social sciences.

💻 Computer Skills

Dr. Akhtar is proficient in statistical packages like SPSS and Minitab and has experience with programming languages such as BASIC, Mathematica, and R. His technical skills enable him to conduct complex statistical analyses and contribute to research initiatives effectively.

 

Publication

1. LFTA: Legacy Friendly Traffic Allocation Strategy for Multi-Link Operation in WiFi7
  • Type: Conference paper
  • Conference: 2024 16th International Conference on COMmunication Systems and NETworkS (COMSNETS 2024)
  • Year: 2024
  • DOI: 10.1109/COMSNETS59351.2024.10426831
  • EID: 2-s2.0-85186724793
  • ISBN: 9798350383119
  • Contributors: Kulshrestha, J.; Akhtar, N.; Hathi, P.; Maity, M.
2. Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators
  • Type: Journal article
  • Journal: Mathematics
  • Date: 2024-09-27
  • DOI: 10.3390/math12193027
  • Contributors: Nadeem Akhtar; Muteb Faraj Alharthi; Muhammad Shakir Khan
3. Analyzing Quantitative Performance: Bayesian Estimation of 3-Component Mixture Geometric Distributions Based on Kumaraswamy Prior
  • Type: Journal article
  • Journal: Statistical Papers
  • Date: 2024-05-15
  • DOI: 10.1007/s00362-024-01562-0
  • Contributors: Nadeem Akhtar; Sajjad Ahmad Khan; Emad A. A. Ismail; Fuad A. Awwad; Akbar Ali Khan; Taza Gul; Haifa Alqahtani
4. Bayesian Estimation of 3-Component Mixture Geometric Distribution Under Different Loss Functions
  • Type: Journal article
  • Journal: AIP Advances
  • Date: 2024-01-01
  • DOI: 10.1063/5.0189420
  • Contributors: Dr. Nadeem Akhtar; Sajjad Ahmad Khan; Emad Ismail; Fuad Awwad; Taza Gul; Akbar Ali Khan
5. Bayesian Estimation of a Geometric Distribution Using Informative Priors Based on a Type-I Censoring Scheme
  • Type: Journal article
  • Journal: Statistics in Transition new series
  • Date: 2023-06-30
  • DOI: 10.59170/stattrans-2023-047
  • Contributors: Dr. Nadeem Akhtar; Sajjad Ahmad Khan; Muhammad Amin; Akbar Ali Khan; Amjad Ali; Sadaf Manzoor
6. Bayesian Estimation of a Geometric Life Testing Model Under Different Loss Functions Using a Doubly Type-1 Censoring Scheme
  • Type: Journal article
  • Journal: Mathematical Problems in Engineering
  • Date: 2023-04-11
  • DOI: 10.1155/2023/7184528
  • Contributors: Nadeem Akhtar; Sajjad Ahmad Khan; Muhammad Amin; Akbar Ali Khan; Zahra Almaspor; Amjad Ali; Sadaf Manzoor

🏆 Conclusion

Dr. Nadeem Akhtar is a strong candidate for the Best Researcher Award, with a robust academic background, significant teaching experience, and impactful research contributions in statistics. His strengths in research, peer review, and management, combined with a commitment to professional development, position him well for this recognition. While there are areas for improvement, particularly in increasing his publication volume and research collaborations, his overall contributions to the field of statistics make him a deserving nominee for this prestigious award. Recognizing him would not only honor his achievements but also encourage further advancements in statistical research and education.

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