Chaudhury Sanjeev Kumar Dash | Social Media and Digital Marketing | Best Researcher Award

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Chaudhury Sanjeev Kumar Dash | Social Media and Digital Marketing | Best Researcher Award

Dr Chaudhury Sanjeev Kumar Dash Silicon University, India

Dr. Chaudhury Sanjeev Kumar Dash received his Ph.D. in Computer Science from Fakir Mohan University, India, in 2014. His doctoral research, supervised by Prof. Satchidananda Dehuri at F. M. University in Balasore, focused on “Evolutionary Neural Network for Data Mining.” With a solid foundation in academia, he embarked on a career in teaching and research. He began as an Associate Professor at the Silicon Institute of Technology, where he later assumed the position of Senior Assistant Professor. Throughout his tenure, he has been dedicated to shaping the minds of future professionals, imparting knowledge, and fostering a culture of innovation. Driven by a passion for advancing the field of computer science, he continues to explore new avenues in research and education.

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Education:

He obtained his Ph.D. in Computer Science from Fakir Mohan University, India, in 2014. His doctoral thesis, titled “Evolutionary Neural Network for Data Mining,” was completed under the guidance of Prof. Satchidananda Dehuri at F. M. University in Balasore. Prior to his Ph.D., he earned his M.Tech in Computer Science with First Class distinction from the School of Mathematics, Statistics & Computer Science at Utkal University, India, in 2004. This academic journey equipped him with a solid foundation in both theoretical and practical aspects of computer science, particularly focusing on data mining and computational intelligence techniques. Through his research and academic pursuits, he has demonstrated a strong aptitude for applying advanced computational methods to solve complex problems in various domains. His expertise in evolutionary neural networks and data mining reflects his dedication to exploring innovative solutions for challenging real-world issues. With a solid educational background and guidance from esteemed mentors, he continues to contribute to the advancement of computer science through his research, teaching, and professional endeavors.

Experience:

He served as an Associate Professor at the Silicon Institute of Technology and later transitioned to the role of Senior Assistant Professor at the same institution. With a keen dedication to academia, he contributed significantly to the academic and research endeavors within the institution. His roles encompassed not only teaching but also mentoring students, guiding research projects, and engaging in scholarly activities. At Silicon Institute of Technology, he played a pivotal role in shaping the educational experiences of students, fostering a dynamic learning environment, and instilling a passion for knowledge among learners. Additionally, his expertise and leadership qualities were instrumental in driving initiatives aimed at enhancing the academic standards and research output of the institution. Prior to his tenure at Silicon Institute of Technology, he served as a Lecturer at B.C.E.T., Balasore, where he honed his teaching skills and laid the foundation for his academic career. Throughout his journey, he has demonstrated a commitment to excellence in education and has been a source of inspiration for both students and colleagues alike.

Publications:

  1. Radial basis function neural networks: a topical state-of-the-art survey Cited By : 112, Published By ; 2016
  2. An outliers detection and elimination framework in classification task of data mining Cited By : 27, Published By ; 2023
  3. Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database Cited By : 19, Published By ; 2016
  4. DE+ RBFNs based classification: A special attention to removal of inconsistency and irrelevant features Cited By : 18, Published By ; 2019
  5. Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features Cited By : 17, Published By ; 2022
  6. Improving software reliability prediction accuracy using CRO-based FLANN Cited By : 17, Published By ; 2019
  7. QORA-ANN: quasi opposition based Rao algorithm and artificial neural network for cryptocurrency prediction Cited By : 12, Published By ; 2021
  8. On the study of GRBF and polynomial kernel based support vector machine in web logs Cited By : 10, Published By ; 2013
  9. Feature selection for designing a novel differential evolution trained radial basis function network for classification Cited By : 9, Published By ; 2013
  10. Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification Cited By : 9, Published By ; 2013

Javier Pineda | Social Media and Data Governance | Best Researcher Award

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Javier Pineda | Social Media and Data Governance | Best Researcher Award

Mr Javier Pineda Tulane University, United States

He holds a Master of Business Administration with a specialization in Strategic Management & Innovation from Tulane University’s A. B. Freeman School of Business, New Orleans, LA, graduating in December 2023. Complementing his academic achievements, he completed the Medical Education Research Certification (MERC) Program in September 2022, demonstrating a commitment to advancing knowledge in the medical education field. Additionally, he achieved the status of TeamSTEPPS Master Trainer in June 2022, showcasing expertise in teamwork and communication strategies. With a blend of business acumen and a focus on innovation, he is well-equipped to contribute to both the business and healthcare domains.

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šŸŽ“Education:

He is a highly accomplished individual with a rich academic background. He is currently pursuing a Master of Business Administration with a specialization in Strategic Management & Innovation at Tulane University’s A. B. Freeman School of Business in New Orleans, LA, with an anticipated graduation in December 2023. His educational journey also includes earning a Master of Science in Health Care Management from the University of New Orleans in May 2015. Prior to that, he obtained dual Bachelor’s degrees from Tulane University in May 2011, earning a Bachelor of Science in Management and a Bachelor of Science in Marketing. Additionally, he holds a Minor in Public Health from Tulane University’s School of Public Health and Tropical Medicine, showcasing his diverse academic interests. With a solid foundation in both business and health care management, he is poised to make significant contributions in these fields.

Experience:

He is a dedicated professional with a strong commitment to education and professional development. His contributions include a poster presentation titled “Student Perception of Gamification of a Pediatrics Didactic Session” at Tulane Teaching Scholars’ Education Day in April 2019. Additionally, he has conducted various training sessions on topics such as “Team Effectiveness Training” at Nunez Community College in August 2021 and “Power Dynamics in Medicine” at Tulane University School of Medicine during interdisciplinary seminars and advanced pediatric experiences from 2022 to 2023. His engagement extends to programs like “Work Happier, Not Harder: Time Management for Personal & Professional Productivity” for the GME Program Director Development Program in January 2023 and sessions on “Perseverance & Learning Strategies” and “Professional Identity” for the New Orleans Health Leaders Program in 2022 and 2023. Furthermore, he facilitated a session on “Delegate for Development: Empower Your Employees Through Time Management and Stretch Goals” for the Manager Development Program in April 2023 and later at the Whova Professional Development Day in September 2023. His diverse expertise in education and leadership development reflects his dedication to advancing knowledge and professional growth.

Awards and Honors:

He is the recipient of several prestigious awards that underscore his commitment to excellence and innovation. Notably, he received the Changemaker Catalyst Award from the Phyllis M. Taylor Center for Social Innovation and Design Thinking in 2022, recognizing his impactful contributions to social innovation. His dedication to academic and leadership excellence was further acknowledged with the President’s Excellence Award from Tulane University in 2020. Additionally, he holds membership in the Sigma Iota Epsilon Management Honor Society, a testament to his outstanding achievements in management at the University of New Orleans in 2011. These accolades highlight his exceptional qualities and commitment to making a positive impact in both academic and innovative spheres.

Certificates:

He has invested significantly in professional development, acquiring a diverse set of certifications that showcase his commitment to continuous learning and expertise in various domains. In September 2022, he completed the Medical Education Research Certification (MERC) Program, demonstrating his dedication to advancing education in the medical field. Further emphasizing his commitment to effective teamwork, he became a TeamSTEPPS Master Trainer in June 2022. His proficiency extends beyond the medical realm, as evidenced by his certification as a Society for Human Resource Management Certified Professional (SHRM-CP) in May 2021. Additionally, he delved into the realm of positive psychology, earning certification in Foundations of Positive Psychology from the University of Pennsylvania via Coursera in May 2020. With a focus on leadership development, he achieved certifications as a Korn Ferry Leadership Architect & 360 Certified and an Ochsner Leadership Institute Faculty Certified in July 2017. His technical skills are underscored by his Microsoft Certified Application Specialist designation earned in November 2007. These certifications collectively highlight his dedication to professional growth and expertise across various disciplines.

Publications:

  1. Promotion Criteria for Medical Educators: Are We Climbing a Ladder with Invisible Rungs? Published By : 2024

Rajesh Saturi | Social Media Sentiment Analysis | Best Researcher Award

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Rajesh Saturi | Social Media Sentiment Analysis | Best Researcher Award

Dr Rajesh Saturi Vignana Bharathi institute of technology, India

During his tenure, he expertly conducted classes on a diverse range of subjects, including Introduction to Data Science, High-Performance Computing, Computer Networks, Operating Systems, Database Management Systems, DWDM, Principles of Programming Languages, Formal Languages and Automata Theory, Compiler Design, Computer Graphics, C Programming, Software Engineering, and C++. Demonstrating exceptional skills, he fostered student engagement through meticulous organization of teaching materials and an engaging teaching style. In his classroom, he instills the belief that every student should actively contribute to the learning process. Renowned for his creativity, nurturing approach, and above all, patience, he is dedicated to creating an environment conducive to student success and holistic development.

šŸŽ“Education:

Throughout his academic career, he has held various teaching positions, showcasing his dedication to education and computer science. Since 2019, he has been serving as an Associate Professor in the Computer Science and Engineering department at Vignana Bharathi Institute of Technology and Science, contributing his expertise for the past five years. Prior to this, from 2015 to 2018, he held the position of Associate Professor in CSE at Nalla Narsimha Reddy Group of Institutions for a duration of three years. His journey into academia began as an Assistant Professor in CSE at Nalla Narsimha Reddy Group of Institutions from 2010 to 2015, during which he played a significant role in shaping the academic experiences of students for five years. Additionally, he served as a Lecturer in CSE at Tudi Group of Institutions, spanning the years 2007-2008 and 2009-2010, accumulating two years of valuable teaching experience. Throughout these roles, he has consistently demonstrated a passion for computer science education and a commitment to fostering a dynamic learning environment.

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Achievements:

He has garnered significant recognition for his contributions in the field of research, receiving the prestigious I2OR National Best Researcher Award in 2023 from the Ministry of MSME, Government of India. This acknowledgment adds to his already impressive list of accolades, including the Academic Excellence Award for 2023-2024 from the Novel Research Academy, accredited by the International Accreditation Forum (IAF) and Global Accreditation Assessment Forum Series (GAAFS) with ISO 9001:2015. His influence extends to academic publications, where he serves as an Editorial Member of the International Journal of Internet of Things (IJIOT) and the American Journal of Data Mining and Knowledge Discovery. Additionally, he actively contributes to the academic community by delivering guest lectures, as evidenced by his presentation at Kasireddy Narayana Reddy College of Engineering and Research in Hyderabad. His expertise is further demonstrated through his role as a reviewer for the Springer conference (ICACTEA-2023) and various journals. His commitment to academic excellence is underscored by his qualifications, having cleared the TS-SET and GATE examinations, securing an impressive 86%. Recognized by JNTUH, he has been ratified as an Assistant Professor, showcasing his dedication to both research and education.

Workshop Attended & Conducted:

He has actively contributed to the educational landscape by organizing and conducting impactful workshops. In 2017, he took the initiative to conduct a workshop on Ethical Hacking facilitated by Sai Sathish under the CSI Student Branch. The following year, in 2016, he organized a workshop on Internet Marketing by IIM Delhi, demonstrating his commitment to bringing diverse and valuable learning experiences to students. His efforts also extended to the realm of web development, where he conducted a two-day workshop on “Web Designing using PHP” under the CSI Student Branch in February 2015. Through these workshops, he has played a pivotal role in fostering practical skills and knowledge enhancement among students, contributing to their overall academic and professional development.

Coursera Certifications:

He has demonstrated a strong commitment to continuous learning and professional development by successfully completing various online courses. Among these, he engaged in a comprehensive program on the Business Application of Machine Learning and Artificial Intelligence in Healthcare at Northeastern University. This course, completed from June 28, 2020, to July 22, 2020, equipped him with valuable insights into the intersection of technology and healthcare. Furthermore, he broadened his knowledge in artificial intelligence through the completion of “AI for Everyone” from Deeplearning.ai, spanning from July 19, 2020, to August 9, 2020. Understanding the ethical implications of technology, he also completed the course on “Big Data, Artificial Intelligence, and Ethics” offered by the University of California, Davis, from July 5, 2020, to July 26, 2020. Additionally, he delved into programming by accomplishing “Programming for Everybody (Getting Started with Python)” from the University of Michigan, a comprehensive seven-week program completed from July 26, 2020, to August 23, 2020. To further enhance his understanding of healthcare, he completed the “Introduction to Breast Cancer” course at Yale University from July 5, 2020, to August 12, 2020. Through these endeavors, he has demonstrated a proactive approach to staying abreast of the latest developments in technology, artificial intelligence, and healthcare.

Publications:

  1. Data as a service (Daas) in cloud computing [data-as-a-service in the age of data] Cited By : 29, Published By : 2012

  2. Histopathology breast cancer detection and classification using optimized superpixel clustering algorithm and support vector machine Cited By : 6, Published By : 2022
  3. Multi-Objective Feature Selection Method by Using ACO with PSO Algorithm for Breast Cancer Detection. Cited By : 6, Published By : 2021
  4. Data as a Service (Daas) in Cloud Computing [Data-As-A-Service in the Age of Data] Data as a Service Daas in Cloud ComputingĀ  Cited By : 6, Published By : 2012
  5. Implementation of efficient segmentation method for histopathological images Cited By : 5, Published By : 2020
  6. Extracting Subset of Relevant Features for Breast Cancer to Improve Accuracy of Classifier Cited By : 4, Published By : 2019
  7. A Novel Variant-Optimized Search Algorithm for Nuclei Detection in Histopathogy Breast Cancer Images Cited By : 2, Published By : 2022
  8. A FRAME WORK TO DETECT BREAST CANCER USING KNN and SVM Cited By : 2, Published By : 2021
  9. Recognizing the languages in WebPagesā€”A framework for NLP Cited By : 2, Published By : 2013
  10. Effect of Indexing on High-Dimensional Databases Using Query Workloads Cited By : 1, Published By : 2014