Mohsen Rasoulivalajoozi- Graph Partitioning – Best Researcher Award

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Mohsen Rasoulivalajoozi- Graph Partitioning – Best Researcher Award

Dr. Mohsen Rasoulivalajoozi  distinguished academic and researcher in the field Graph Partitioning. He is interested in projects contributing to well-being (e.g., technology-enabled interventions for destigmatizing assistive products), improving spatial experiences in hospitals, and developing tools and methods for researching behavioral factors in the contexts of Medical Design, healthcare, and everyday life.

Mohsen has served as a reviewer for several journals (e.g., Cogent Medicine, Cogent Education, Cogent Psychology, and Cogent Social Science) and conferences (e.g., IEEE ISTAS21 Conference). He has experience working with designers, and educational practitioners and collaborated with researchers in Canada, Europe, and Iran.

🌐 Professional Profiles

Educations📚📚📚

Mohsen Rasoulivalajoozi is currently a doctoral researcher working on Health Design Thinking for medical and assistive products at the Department of Individualized Program (INDI), Concordia University, Canada. Mohsen received his bachelor’s degree in Visual Communication from the Art University of Tehran, Iran, in 2010. He received a master’s degree in Industrial Design from the University of Tehran (UT) in 2013. He worked as a lecturer at Art University and the University of Tehran between 2014 and 2017. Also, He collaborated as an Editor (In the area of Ergonomics) with Cambridge Scholar Publishing- Oxford-the UK (2016-2020). From 2019 to 2021, he collaborated with the industrial design department at Eindhoven University of Technology (TU/e), the Netherlands. In 2020, Mohsen was granted the Excellence Doctoral Fellowship Award from Concordia University.

Conference publications

He has contributed significantly to the field of technology and management through his conference publications. In 2020, Kheyrkhahan and Rasoulivalajoozi presented their research on the development of Smart Glasses Frame (SGF) tailored for the visually impaired, focusing particularly on environment perception and depth detection. This was showcased at the International Conference on Emerging in Engineering, Science, and Technology in Istanbul, Turkey. Additionally, in 2019, Rasoulivalajoozi, along with Zangi and Razavi, investigated the impact of visual elements on consumer behavior across different age demographics, with a specific case study conducted in Iran. Their findings were shared at the 6th International Conference on Research in Management, Economics, and Development held in Tbilisi, Georgia. These publications demonstrate his commitment to advancing knowledge and addressing practical challenges in various domains

ORAL COMMUNICATION & WORKSHOP PRESENTATION

He has been actively engaged in sharing his expertise and research insights across various platforms and institutions. In April 2023, Rasoulivalajoozi presented his study titled “Unintended Behaviors in Using Mobility Aids” at the 4th Space, INDI Research Day hosted by Concordia University. Earlier in February 2023, he discussed “The role of research methodology in medical design” at Bu-Ali Sina University, Faculty of Design, emphasizing the significance of methodological approaches in the field. His contributions extend to the domain of healthcare system design, as evidenced by his presentation on “Design Principles for Health Care System and Service” at Concordia University in October 2020. Furthermore, he has been involved in enhancing sports equipment and devices through optimization and new product development, as demonstrated by his talk at the University of Tehran (UT), Faculty of Physical Education & Sport Science in February 2016. Rasoulivalajoozi’s commitment to knowledge dissemination is evident from his earlier engagements such as his presentation on “The Research Methods for Medicine Sports Products” at UT in February 2015 and his efforts in preparing students for the National Olympiad Examination. These endeavors highlight his multidisciplinary approach and dedication to advancing research and education in various fields.

RESEARCH PROJECT PARTICIPATION

He has actively participated in several research projects, contributing his expertise and insights to various fields. Currently, he is engaged as a Research Assistant in a project titled “Public Practice Art Therapy: COVID Response,” led by Janis Timm-Bottos and sponsored by Fond de recherche du Quebec, since January 2023. Additionally, he is involved in another project led by Janis Timm-Bottos, focusing on the “Relevance, Originality, Added Value, and Feasibility of the Living Lab Approach,” also sponsored by Fond de recherche du Quebec, from January 2023 onwards.

His earlier research endeavors include collaborative projects such as the design of a Chest Muscle Rehabilitation Instrument aimed at enhancing user performance, conducted at the University of Tehran’s Faculty of Industrial Design from February 2012 to September 2013. Furthermore, he contributed to the development of a Body Design for an Infusion Pump targeting the rehabilitation of chest muscles, in collaboration with Razavi and Faraji at the University of Tehran from February 2012 to September 2012. Prior to that, he was involved in designing a device to prevent driver’s awareness lapses at Amir Kabir University of Technology from November 2011 to March 2012. These projects underscore his dedication to research and innovation across diverse domains, showcasing his multidisciplinary approach and commitment to addressing practical challenges.

MEMBERSHIPS

He has been actively engaged in various professional memberships and roles, showcasing his commitment to advancing research and innovation across multiple domains. Currently, he is a scientific member of the International Behavioural Trials Network (IBTN)-Summer School, led by Simon L. Bacon in Montreal, Canada, from November 2023 to June 2024. Additionally, he serves as a Program Committee Member for the IEEE International Symposium on Technology and Society (ISTAS) in 2021, allowing him to review numerous papers in the medical design field and health technologies with a focus on ethics and sociology.

He is also affiliated with the IDEAS BE Research Lab at Concordia University in Canada, supervised by Dr. Carmela Cucuzzella, since 2021. Furthermore, he has contributed as a Guest Researcher and Designer at the Industrial Design Lab at Eindhoven University of Technology, collaborating with experts in the Netherlands from March 2019 to September 2020. His editorial involvement includes serving as an Editorial Advisor at Cambridge Scholar Publishing in the United Kingdom, focusing on Ergonomics Books from March 2018 to December 2020.

Moreover, he has held positions as a Co-Reviewer for various academic journals, including Cogent Social Sciences, Cogent Medicine, and Cogent Psychology, contributing his expertise to scholarly peer review processes. He was also a member of the Industrial Designers Society of America (IDSA) from 2013 until 2019, emphasizing his active participation in professional communities. Additionally, he served as an Editorial Advisor for Recent Patents on Food, Nutrition & Agriculture from April 2018 to 2019, contributing to advancements in agricultural sciences. These diverse memberships and roles underscore his dedication to interdisciplinary collaboration and scholarly contributions across multiple fields.

AWARDS AND HONORS 

He has received several notable awards and honors throughout his academic and professional career, highlighting his exceptional achievements and contributions. In 2015, he was honored as an Annual Selected visiting lecturer at the University of Pars Architecture and Art, recognizing his expertise and influence in the field. His dedication to academic excellence was further recognized in 2013 when he received the Best Master’s Degree Thesis award from the Department of Industrial Design at the University of Tehran in Iran, underscoring his significant scholarly contributions.

His outstanding performance in academic examinations is evidenced by his impressive rankings. In 2005, he achieved a remarkable feat by securing the 194th position out of 119,000 participants in the National Entrance Exam for B.A. degree in Iran, demonstrating his academic prowess and dedication to excellence. Additionally, his innovative work has been acknowledged internationally, as evidenced by his recognition as a Semi-finalist in the IF World Competition in 2014. The project titled “Design of an IFO (Interactive Foot Orthosis)” emerged from his master’s thesis project, reflecting his ability to merge academic rigor with practical innovation.

Moreover, he has excelled in national competitions, further solidifying his reputation as a top talent in his field. In 2010, he ranked 4th among all Iranian industrial design students in the National Competition of Olympiad in Industrial Design Discipline, showcasing his creativity and proficiency. Similarly, in the same year, he secured the 7th position out of 14,000 participants in the National Entrance Exam for MA degree in Iran, reaffirming his academic excellence and aptitude. These accolades collectively highlight his remarkable achievements and underscore his status as a distinguished scholar and innovator in the field of industrial design.

📝🔬Publications📝🔬

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

Sankar Shanmuganathan – Generative adversarial networks

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Dr. Sankar Shanmuganathan – Leading Researcher in Generative adversarial networks

Dr.  Sankar Shanmuganathan  a distinguished academic and researcher in the field of Generative adversarial networks. He is currently serving as a Professor in the Department of Computer Science and Engineering at Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India. A dedicated, resourceful, and goal-driven professional educator, he is passionate about programming and has a solid commitment to academic growth. With over 20 years of experience, he is a seasoned researcher and has taught courses for both undergraduate and postgraduate students. He has successfully supervised 20 Bachelor’s theses and 10 Master’s theses, demonstrating his mentorship skills. His contributions extend to publishing articles in peer-reviewed journals and conferences, obtaining three patents, and securing grants from AICTE for organizing technical events.🌟💻🔬

Eduvation

He completed his Ph.D. in Information Technology from Hindustan University in 2018. 🎓 Prior to that, he earned a Master’s degree in Software Engineering from Periyar Maniammai College of Technology, affiliated with Anna University, Chennai, Tamil Nadu, in 2006, achieving a first-class distinction. 🏆 His academic journey began with a Bachelor’s degree in Computer Engineering from Arulmigu Kalasalingam College of Engineering, Srivilliputhur, Tamil Nadu, in 1992, where he also excelled with a first-class distinction. 🏅 This degree was affiliated with Madurai Kamaraj University, Madurai, Tamil Nadu. 🌟

Professional Profiles:

RESEARCH ACTIVITIES

🗣️He has obtained three patents from IP Australia, showcasing his innovative contributions. The first patent, dated October 27, 2021 (Patent No: 2021102955), is titled “A System and Method for Agile Meeting Dashboard.” The second patent, dated May 5, 2021 (Patent No: 2021101703), pertains to “3D Printing of Cost-Effective Human Skull Models and Skull Implants.” The third patent, dated April 7, 2021 (Patent No: 2021100286), is for “Aqua Life: A Compact Device Extracting Drinkable Water from Sea Water.”

In addition to his research achievements, he has undertaken various consultancy projects. Notably, he developed a software product for MEL Systems and Services Ltd, Chennai, involving the creation of advanced reports using Python, Django, and MongoDB. Another significant project involved the development of a software product to detect glaucoma in optical coherence tomography images for M/s Appasamy Associates R & D, Chennai, implemented in Java and Matlab.

Furthermore, he contributed to software bug fixing for General Electricals T & D Limited, Chennai, utilizing VB.NET technology. Additionally, he conducted corporate training for General Electricals T & D Limited, Chennai, imparting VB.NET platform skills to GE employees, preparing them to independently develop utility software. The funds received for training amounted to Rs. 2,00,000. Overall, his diverse expertise and accomplishments reflect his commitment to both innovation and practical application in the field.

BOOKS AUTHORED / CHAPTER CONTRIBUTED

AUTHORED BOOK on OBJECT ORIENTED PROGRAMMING Published by Laxmi PublicationsChennai,
2009
CHAPTER CONTRIBUTED LEAN SIX SIGMA: SIX SIGMA PROJECTS AND PERSONAL EXPERIENCEPublished by In-Tech Open Access Publications, Crotia, 2012

RESEARCH PAPERS PUBLISHED

  • Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
    • Authors: J.C. Sekhar, Ch Rajyalakshmi, S. Nagaraj, S. Sankar, Rajesh Saturi, A. Harshavardhan
    • Published in: Journal of King Saud University – Computer and Information Sciences
    • Volume 35, Issue 10, December 2023
    • DOI: 10.1016/j.jksuci.2023.101848
  • Exploration of Performance of Dynamic Branch Predictors used in Mitigating Cost of Branching
    • Authors: Akash Ambashankar, Ganesh Chandrasekar, AR Charan, S Sankar
    • Published in: 2022 IEEE Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
  • AI Enabled Educational Bot to Improve Learning Outcomes using Bag of Words Algorithm
  • Intelligent Organ Transplantation System Using Rank Search Algorithm to Serve Needy Recipients
    • Authors: S Sankar, U Shuruti, B Bhuvaneshwari
    • Published in: 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
  • Understanding Query Intention in Search Queries of Learners in Blended Learning Environments
    • Authors: Vivekananthamoorthy Natarajan, Sankar Shanmuganathan
    • Published in: 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
  • Sign language translator using YOLO algorithm
    • Authors: Bhavadharshini, M., Josephine Racheal, J., Kamali, M., Sankar, S.
    • Published in: Advances in Parallel Computing, 2021, 39, pp. 159-166
  • Detection of Anomalous Behaviour in Online Exam towards Automated Proctoring
    • Authors: Susithra V, Resham A, Bishruti Gope, Sankar
    • Published in: IEEE International Conference on System, Computation, Automation and Networking
    • DOI: 10.1109/ICSCAN53069.2021.9526448
  • Development of Novel Technique to Detect and Validate Pulmo Malignancy during Early Stages
    • Authors: Dhanalakshmi R, Shree Harini R, Pravallika M, S Sankar
    • Published in: International Journal of Current Research and Review, volume: 13 issue: 17, pp. 56-60, 12th September 2021
    • DOI: http://dx.doi.org/10.31782/IJCRR.2021.131711
  • Sentiment Analysis of Twitter Political Data using GRU Neural Network
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: International Journal of Advanced Science and Technology 29(6), pp. 5307-5320, ISSN 2207-6360, SERSC Australia
  • Sentimental Analysis On Twitter Data Of Political Domain
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: Dogo Rangsang Research Journal, UGC Care Group I Journal, Vol-10 Issue-07 No. 16 July 2020, ISSN:2347-7180
  • An Improved Framework for Sentiment Analysis for College Reviews
    • Authors: T. Sri Devi, R. Dhanalakshmi, S. Sankar
    • Published in: International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 1959-1963