Pavithra sekar – Deep Learning – Best Researcher Award

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Pavithra sekar -Deep Learning – Best Researcher Award

Dr. Pavithra sekar distinguished academic and researcher in the field Deep Learning.

🌐 Professional Profile

Educations📚📚📚

She holds a Bachelor of Engineering (B.E.) in Computer Science Engineering, which she completed in April 2006 with a percentage of 75.6%, earning a first-class with distinction from Vel Tech Engineering College, affiliated with Anna University. She further advanced her education by obtaining a Master of Engineering (M.Tech) in Information Technology in June 2011, achieving a percentage of 8.43 and graduating with first-class honors from Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, also affiliated with Anna University. She completed her academic journey with a Ph.D. in Information Technology, awarded on January 24, 2020, from St. Peter’s Institute of Higher Education and Research.

PROFESSIONAL EXPERIENCE:

She possesses about 17 years of experience in the field of education, encompassing teaching, administration, and research. Currently, she holds the position of Assistant Professor Sr in the School of Computer Science and Engineering at Vellore Institute of Technology, Chennai. Her career includes roles such as Assistant Professor (Sr) in the Department of Computer Science and Engineering at VIT Chennai since December 15, 2023. Previously, she served as Assistant Professor (SG) and IPR coordinator in the Department of Information Technology from March 31, 2021, to December 7, 2022, at Rajalakshmi Engineering College. Prior to that, she was Assistant Professor & Assistant HOD in the Computer Science & Engineering Department at VelTech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College for 9.6 years, from July 6, 2011, to January 25, 2021. She began her career as a lecturer in the Department of Information Technology at VelTech MultiTech Dr. Rangarajan Dr. Sakunthala Engineering College from August 24, 2006, to September 25, 2009.

 

DEVELOPMENT ACTIVITIES

She possesses a thorough understanding of her subject area, demonstrating an exceptional ability to effectively communicate complex concepts to her students. Her strong communication and comprehension skills enhance her role in internal administrative tasks within educational institutions. She has a proven track record in coordinating various activities such as symposiums, student projects, and conferences, where she provides guidance and support to ensure successful outcomes. Her extensive experience includes roles as Class Coordinator, Conference Coordinator, Project Coordinator for contests, and organizing events like the MOTOROLA FAER EVENT. Additionally, she has served as ISO coordinator, handled NBA coordination, and participated actively in autonomous file activities. She is involved in setting question papers for autonomous colleges and universities and has excelled in roles such as Class In-Charge, Student Mentor, and AICTE CII-Survey participant. She diligently maintains semester-wise result analysis reports, prepares weekly schedules, and curates course materials for effective teaching. Her commitment to excellence is evident in achieving over 90% results across all subjects and receiving a publication award of 16,000. Notably, she achieved a perfect 100% result in key subjects like Computer Programming, Operating System, Computer Architecture, Advanced Computer Architecture, and Problem Solving And Python Programming.

📝🔬Publications📝🔬

1. S. Pavithra and K. Venkata Vikas, “Detecting Unbalanced Network Traffic Intrusions With Deep
Learning,” in IEEE Access, vol. 12, pp. 74096-74107, 2024, doi: 10.1109/ACCESS.2024.3405187.
2. . Pavithra, T. Veeramani, S. Sree Subha, J.P. Sathish Kumar, S. Shanmugan, Ammar H.
Elsheikh, F.A. Essa, “Revealing prediction of Perched Cum Off-Centered Wick Solar Still
Performance using network based on Optimizer algorithm” Process Safety and
Environmental Protection,Volume 161,2022, Pages 188-200,ISSN 0957-
5820,https://doi.org/10.1016/j.psep.2022.03.0092022, .(SCI, Scopus).)(Impact factor: 7.92).
3. Meena, M., Kavitha, A., Karthick, Pavithra.S “Effect of decorated photoanode of
https://doi.org/10.1007/s12034-022-02828-9 .(SCI, Scopus).)(Impact factor: 1.92).
4. S.Pavithra, P.M Anu “An Efficient Data Aggregation with Optimal Recharging in Wireless
Rechargeable Sensor Networks” (Submission code: IJAIP-221302) for the International
Journal of Advanced Intelligence Paradigms (IJAIP) Inderscience
DOI: 10.1504/IJAIP.2022.10040244,2022 (Scopus). Impact factor ( 0.63)
5. S.Pavithra Assistive Chatbot device to support Visually Impaired Person to access
Transport Mode Status Using Deep Learning Model ARPN Journal of Engineering and
Applied Sciences waiting for Publication 2022. (Scopus).
6. S.Pavithra, R.Karthikeyan P.M Anu “Detection and classification of 2D and 3D Hyper
Spectral Image Using Enhanced Harris Corner Detector” “Scalable Computing: Practice and
Experience, ISSN 1895-1767, Volume 21, Issue 1, pp. 93–100, DOI

Arvind Ramtohul – Human-Computer Interaction – Best Researcher

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Arvind Ramtohul – Human-Computer Interaction

Mr. Arvind Ramtohul  distinguished academic and researcher in the field Human computer interaction. He is an experienced Enterprise Architect and Senior System and Network Administrator with over a decade of hands-on involvement in designing, implementing, supporting, and managing multi-tiered systems. His expertise lies in spearheading digital transformation initiatives and translating strategic objectives into actionable goals. With proficiency across various enterprise-level devices, platforms, middleware, and embedded systems, he has demonstrated a consistent ability to deliver solutions under pressure during critical outages, ensuring timely and budget-conscious implementations.

Moreover, he excels in assessing and enhancing Customer Experience and Engagement, while also evaluating emerging and unproven technologies. Alongside his professional roles, he serves as a part-time Lecturer and Tutor, instructing on Artificial Intelligence and Relational Database Management System modules as he pursues his PhD research in ubiquitous areas such as Augmented Reality (AR), Virtual Reality (VR), Mixed-Reality (MR), and Extended-Reality (XR)

🌐 Professional Profiles

Educations: 📚🎓

He pursued his academic journey with a strong focus on Ubiquitous Computing:

  • PhD in Ubiquitous Computing: Currently enrolled at the University of Mauritius, his research revolves around developing a Mobile Augmented Reality Framework aimed at enhancing User Experience and Engagement. Notably, he successfully transitioned from MPhil to PhD status during his studies.
  • MPhil in Ubiquitous Computing: He earned his Master of Philosophy degree from the University of Mauritius, where his thesis delved into the creation of a Mobile Augmented Reality Framework designed to enhance User Experience and Engagement.
  • BSc (Hons) in Computer Science and Engineering: Graduating with honors from the University of Mauritius, he completed his undergraduate studies with a remarkable Final Year project focused on developing an Indoor Positioning System utilizing WiFi Technology, earning him a Grade A.
  • Higher School Certificate (HSC): During his earlier education at Sir Leckraz Teelock State Secondary School, he excelled in Mathematics (A), Computing (B), and Physics (D), laying the foundation for his subsequent academic pursuits.

 EXPERIENCE

In his role as a Lecturer at Polytechnics Mauritius Ltd, he has been instrumental in shaping the educational experience by:

  • Delivering lectures, tutorials, and seminars, with a focus on Artificial Intelligence and Relational Database Management Systems modules.
  • Creating comprehensive teaching materials to facilitate effective learning.
  • Collaborating with fellow academics to enhance teaching methodologies and broaden the scope of knowledge delivery.
  • Setting and assessing assignments, tests, and examinations to ensure academic rigor.
  • Providing valuable support to students and colleagues alike.

As a Senior Operations Officer/Senior IT Officer at Mauritius Civil Service Mutual Aid Association (MCSMAA) Ltd, he has demonstrated exceptional leadership and expertise in managing various aspects of IT operations:

  • Serving as the backup lead for the IT infrastructure team, with a specialized focus on UNIX, Linux, Storage, Middleware, Windows, Database, Hypervisor, Network, and Security domains.
  • Contributing to strategic IT planning by proposing and executing innovative projects such as E-Services, Active-Active DR Architecture, VMware infrastructure, Content Analysis System (CAS), and WhatsApp messaging, among others.
  • Actively researching and incubating new ideas from emerging technologies, with a particular emphasis on achieving a branchless institution and enhancing customer experience through digital initiatives.
  • Engaging with stakeholders, consultants, and suppliers to facilitate seamless project execution, address pending issues, evaluate emerging technologies, and manage support contracts.
  • Leading the formulation of Request-for-Proposal (RFP) documents, assessing bids, and participating in tender committees to ensure the selection of optimal solutions for new projects.
  • Playing a crucial role in budget preparation for infrastructure projects on an annual basis.
  • Overseeing the optimal functioning of network hardware, security solutions, and IT governance and compliance initiatives, including security audits and Vulnerability Assessment and Penetration Testing (VAPT) exercises.

Publication

  • Augmented reality systems in the cultural heritage domains: A systematic review

    Digital Applications in Archaeology and Cultural Heritage
    2024-02 | Journal article
    DOI: 10.1016/j.daach.2024.e00317
    CONTRIBUTORS: Arvind Ramtohul; Kavi Kumar Khedo

Tumlumbe Juliana Chengula – Computer Vision -Best Researcher Award

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Tumlumbe Juliana Chengula  – Computer Vision

Tumlumbe Juliana Chengula  a distinguished academic and researcher in the field of Computer Vision. He possesses proficiency in several programming languages, with a focus on Python. His expertise extends to utilizing various tools such as Tableau, QGIS, PyTorch, and Tensorflow, showcasing a well-rounded skill set in data science and machine learning. Additionally, he has earned certifications in Data Science Tools, SQL for Data Science, and Machine Learning with Python, all from IBM. Furthermore, he has completed the “Using Python for Research” certification from Harvard University, underscoring his commitment to continuous learning and staying at the forefront of relevant technologies in the field. These skills and honors collectively highlight his comprehensive knowledge and dedication to the dynamic and evolving realm of data science.

Eduvation

His master’s studies at Amirkabir University of Technology (AUT) in Tehran, Iran, from September 2018 to October 2021, he specialized in Electrical Engineering with a focus on Control. During this period, he maintained a GPA of 3.5/4, and his final project earned a perfect score of 4/4. Prior to his master’s degree, he completed his Bachelor’s in Power Electrical Engineering at Yazd University, Iran, from September 2014 to August 2018, achieving a GPA of 3.1/4.

Professional Profiles:

Employment Experience
As a Graduate Research Assistant at South Carolina State University since August 2022, she has been actively engaged in the collection, recording, and analysis of transportation data, utilizing proficient tools such as Python, Tableau, PowerBI, and QGIS. Her research focus involves the application of cutting-edge technologies, including Machine Learning, Deep Learning, and Artificial Intelligence, to address challenges within the transportation industry.
Over the course of her tenure, she has showcased her contributions by delivering six impactful presentations on her research in Machine Learning and Artificial Intelligence at seven distinguished transportation conferences. Furthermore, her commitment to scholarly dissemination is evident through the submission and acceptance of two peer-reviewed articles, which are slated for presentation at the prestigious 2024 Annual Transportation Research Board conference. These accomplishments underscore her dedication to advancing knowledge and providing innovative solutions to enhance the efficiency and effectiveness of the transportation sector.
Research Project Highlights
She has made notable contributions to the field of transportation through her research endeavors, addressing critical issues with cutting-edge technologies. One of her significant projects involves enhancing road safety through Ensemble Learning, specifically in detecting driver anomalies using vehicle inbuilt cameras. In another study, she employed Topic Modeling and Categorical Correlations to unveil patterns associated with autonomous vehicle disengagements, shedding light on crucial aspects of autonomous driving systems.
Furthermore, she delved into the realm of quantum computing to improve classification performance in traffic sign recognition, utilizing an optimized hybrid classical-quantum approach. Additionally, her research extends to the realm of sustainable urban mobility, where she has applied Explainable Artificial Intelligence to predict bike-sharing station capacity. These diverse projects showcase her proficiency in utilizing advanced technologies and methodologies to address multifaceted challenges within the transportation sector.
Publication

Improving road safety with ensemble learning: Detecting driver anomalies using vehicle inbuilt cameras

Machine Learning with Applications
2023-12 | Journal article
DOI: 10.1016/j.mlwa.2023.100510
CONTRIBUTORS: Tumlumbe Juliana Chengula; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi

Mohamed Shoaib | Applications of Deep Learning

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Mohamed Shoaib |Applications of Deep Learning

Academician/Research Scholar

NTU (Nanyang Technological University, Singapore) DOCTOR OF PHILOSOPHY at the School of Computer Science and Engineering (SCSE) (FULL-TIME) JAN 2023. Working as a full-time Researcher in the fields of Machine Learning, Data Science, and Artificial Intelligence. Working on applications like how to apply AI in Biomedical, Agriculture, and
communication.

 

Professional Profiles:

Education:

  • Information Technology Institute (ITI)
    Diploma in Artificial Intelligence powered by EPITA School of Engineering and Computer Science. APR 2021 – JAN 2022
  • Faculty of Engineering, Menoufia University.
    Master’s degree in Engineering Science. Subject: Utilization of Artificial Intelligence Techniques in Healthcare Applications. (Pre-Master GPA: 3.46/4) Oct 2019 – MARCH 2022

CERTIFICATIONS

  • Udacity Certified -AWS Machine Learning Foundations Nanodegree Program (2021)
  • Data Camp Certified- Data scientist, Data analyst, and Python programming Career Tracks. (2021.
  • IBM Certified – ML, Data Science, NLP, and AI courses. (2020).
  • Udemy Certified – ML, Data Science, NLP, and DL courses. (2019).

publications