Gerard Deepak | Human-Computer Interaction | Excellence in Research

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Dr. Gerard Deepak | Human-Computer Interaction | Excellence in Research

Assistant Professor at Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India.

Dr. Gerard Deepak is a highly accomplished researcher in computer science and engineering, holding a Ph.D. from the National Institute of Technology Tiruchirappalli. His expertise spans artificial intelligence, semantic intelligence, explainable AI, ontology modeling, and machine learning. With a commitment to excellence, Dr. Deepak has authored numerous publications and received prestigious awards for his research contributions. His work focuses on advancing knowledge in diverse areas such as web search diversification, knowledge representation, and reasoning. Dr. Deepak’s dedication to both teaching and research underscores his passion for mentoring future generations of scholars while making significant contributions to the field.

Professional Profiles:

šŸŽ“ Education

Dr. Gerard Deepak completed his Doctor of Philosophy in Computer Science and Engineering from the National Institute of Technology Tiruchirappalli, India, between July 2018 and December 2021. His thesis, titled “Formalization of Knowledge Centric Paradigms for Diversification of Web Search Encompassing Semantic Artificial Intelligence,” achieved a perfect CGPA of 10/10, and the degree has been awarded. Prior to this, he earned a Master of Technology in Computer Science and Engineering from the University Visvesvaraya College of Engineering, Bangalore University, Bangalore, from October 2014 to December 2016. His dissertation focused on “Collaborative Ontology Modeling Using Review Based Strategy,” and he graduated with a distinction and rank 1, securing a percentage of 90.10%. Dr. Deepak also holds a Bachelor of Technology in Information Technology from Anna University, Chennai, completed between September 2008 and May 2012, with a CGPA of 9.01, graduating with distinction.

Professional Experience

Dr. Gerard Deepak has over a decade of experience in teaching and industry roles. Since June 2022, he has been serving as an Assistant Professor at the Manipal Institute of Technology, Bengaluru, under the Manipal Academy of Higher Education. Before this, he worked at the National Institute of Technology Tiruchirappalli as a Junior and Senior Research Fellow from July 2018 to December 2021, contributing to various research projects in the Department of Computer Engineering. From April 2018 to May 2022, Dr. Deepak held the position of Data Specialist Engineer at SpaceAge Infotech, Bangalore, where he was involved in data engineering and analysis. Prior to this, he was an Assistant Professor at Christ University, Bangalore, from May 2017 to April 2018, engaging in teaching and academic development activities. Earlier in his career, Dr. Deepak worked as a Data Specialist Engineer at Usable Bytes Pvt. Ltd., Pune, from February 2016 to May 2017. He started his professional journey at Cognizant Technology Solutions, India, where he served as a Programmer Analyst from November 2012 to September 2014, developing course notes, assignments, lab manuals, and tutorials for Software Engineering and C-Programming subjects.

Research Interest

Dr. Gerard Deepak’s research interests span a diverse range of cutting-edge topics within the field of computer science and engineering. He is particularly focused on Artificial Intelligence, exploring innovative approaches and applications to solve complex problems. His work in Semantic Intelligence aims to enhance machine understanding and processing of human languages through advanced semantic analysis. Dr. Deepak is also dedicated to eXplainable AI, developing models that are transparent, interpretable, and explainable to humans, thus bridging the gap between complex algorithms and user comprehension. In the realm of Next Generation Web, he investigates advancements in web technologies and their impact on user experiences and interactions.

šŸ† Awards and Honors

Dr. Gerard Deepak has been recognized extensively for his contributions to research and academia. Notably, he was listed among the top 2% of global scientists by Stanford University in 2022 for his work in Artificial Intelligence. He received the Best Researcher Award from the National Institute of Technology Tiruchirappalli for the academic years 2019-2020 and 2020-2021. Dr. Deepak has earned several Best Paper Awards, including for “DLKIA” and “KCVR” at the International Science Fiction Online Conference (2020), and at conferences like ETTIS-2021, ICEEE (2021), and ICINPRO (2019). He also secured Best Poster Awards at NCCOCE 18ā€™ and accolades at multiple national conferences. Additionally, he was awarded a Proficiency Certificate for his overall performance in co-curricular activities by Adhiyamaan College of Engineering.

šŸ§Ŗ Research Skills

Dr. Gerard Deepak possesses a comprehensive set of research skills that underpin his extensive contributions to the field of computer science and engineering. He has expertise in developing and applying Artificial Intelligence (AI) algorithms to solve complex problems, and is proficient in semantic analysis for enhancing machine understanding of human languages through Semantic Intelligence. Dr. Deepak is skilled in creating transparent, interpretable AI models as part of his work in eXplainable AI (XAI), ensuring clarity and trust in AI systems. His research also focuses on investigating and advancing web technologies to improve user experiences and interactions within the realm of Next Generation Web. Additionally, he excels in Ontology Modeling, designing formal knowledge representations to enhance data interoperability and understanding. Dr. Deepak’s capabilities extend to Knowledge Representation and Reasoning, where he develops models and reasoning algorithms to extract valuable insights from data. Furthermore, he is adept at building and utilizing Knowledge Graphs for structured information organization, and applying advanced Machine Learning and Deep Learning techniques to various domains, thereby enhancing predictive modeling and data analysis capabilities.

Publications

  1. QGMS: A Query Growth Model for Personalization and Diversification of Semantic Search Based on Differential Ontology Semantics Using Artificial Intelligence
    • Authors: Deepak, G., Santhanavijayan, A.
    • Year: 2024
    • Publication: Computational Intelligence, 40(1), e12514
  2. ATRSI: Automatic Tag Recommendation for Videos Encompassing Semantic Intelligence
    • Authors: Deepak, G., Iyer, K., Shukla, S.
    • Year: 2024
    • Publication: Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 594ā€“599
  3. SITSL: Strategic Image Tag Recommendation Framework Encompassing Semantics Oriented Learning and Reasoning
    • Authors: Kumari, R., Deepak, G.
    • Year: 2024
    • Publication: Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 600ā€“604
  4. SIFVT: A Semantically Inclined Framework for Financial Video Tagging
    • Authors: Vijay, M., Gowrav, M., Deepak, G., Pushpa, C.N.
    • Year: 2024
    • Publication: Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 588ā€“593
  5. IDTCKS: An Intelligent Integrative Approach for Disaster Tweet Classification and Disaster-Related Document Classification Using Knowledge-Driven Hybrid Semantics
    • Authors: Nama, V., Deepak, G.
    • Year: 2024
    • Publication: Lecture Notes in Networks and Systems, 893, pp. 431ā€“442
  6. The IoT Resource Allocation and Scheduling Using Elephant Herding Optimization (EHO-RAS) in IoT Environment
    • Authors: Mageswari, U., Deepak, G., Santhanavijayan, A., Mala, C.
    • Year: 2024
    • Publication: International Journal of Information Technology (Singapore)
  7. DESI: Diversification of E-Commerce Recommendations Using Semantic Intelligence
    • Authors: Deepak, G., Anavkar, H.V.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 2047 CCIS, pp. 144ā€“155
  8. OntoOpinionMiner: An Opinion Mining Algorithm for Drug Reviews
    • Authors: Srivastava, R., Deepak, G.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 2030, pp. 221ā€“234
  9. MLSM: A Metadata Driven Learning Infused Semantics Oriented Model for Web Image Recommendation via Tags
    • Authors: Shrivastava, R.R., Deepak, G.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 1978 CCIS, pp. 38ā€“46
  10. SemVidRec: A Semantic Approach to Annotations Driven Video Recommendation Model Incorporating Machine Intelligence
    • Authors: Adesh, A., Deepak, G., Santhanavijayan, A.
    • Year: 2024
    • Publication: Communications in Computer and Information Science, 1978 CCIS, pp. 1ā€“13

 

 

Farwa Taqi | Human-Computer Interaction | Best Researcher Award

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Ms. Farwa Taqi | Human-Computer Interaction | Best Researcher Award

Doctorate at Centre for Social Studies, University of Coimbra, Portugal.

Ms. Farwa Taqi is a dedicated professional with a passion for advancing knowledge in the fields of communication studies and library science. Armed with a diverse educational background, including a Masters in Communication Studies from Universitas Diponegoro and an MPhil in Information Management from the University of the Punjab, she has established herself as a leading figure in academia. With a keen interest in human-computer interaction, information practices, and cloud applications, Ms. Taqi’s research endeavors aim to explore innovative solutions to contemporary challenges in the digital age. Her academic achievements, including top positions and gold medals, underscore her commitment to academic excellence. In her professional roles as a Librarian and Lecturer, she has demonstrated strong organizational skills, effective communication abilities, and a deep understanding of information management principles. Ms. Farwa Taqi’s dedication to her field, coupled with her passion for learning and research, positions her as a valuable asset in both academic and professional spheres.

Professional Profiles:

Education

Ms. Farwa Taqi’s academic journey is marked by a series of notable achievements and accomplishments. She pursued her Masters in Communication Studies at Universitas Diponegoro, Semarang, Indonesia, from 2022 to 2024. Here, she delved into the intricacies of online shopping behavior in Pakistan, emerging as the topper and securing the first position for her groundbreaking research on quantifying the drivers of online consumer behavior. Prior to this, Ms. Taqi completed her MPhil in Information Management at the University of the Punjab in 2021, where her focus on measuring usability and user satisfaction of cloud services earned her another top position. Her educational endeavors also include a Master of Arts in Information Management and a Bachelor of Arts, both from the University of the Punjab. Throughout her academic journey, Ms. Farwa Taqi has consistently demonstrated a passion for learning and a commitment to excellence, positioning herself as a leader in the fields of communication studies and information management.

Professional Experience

Ms. Farwa Taqi has accumulated valuable professional experience that reflects her expertise and commitment to her field. Currently serving as a Librarian in the Department of Archives & Libraries Wing S&GAD at Quaid-e-Azam Library in Lahore, Pakistan since 2018, she demonstrates her dedication to preserving knowledge and facilitating access to information. Prior to this role, she served as a Lecturer at Government Degree College for Women in Qila Kalar Wala District Sialkot from 2016 to 2018, where she imparted her knowledge and expertise to aspiring students. Throughout her professional journey, Ms. Taqi has displayed a keen understanding of library science and information management, contributing significantly to the advancement of her field. Her roles have allowed her to develop strong organizational skills, effective communication abilities, and a deep appreciation for the importance of information literacy. Ms. Farwa Taqi’s commitment to excellence and her passion for promoting access to knowledge make her a valuable asset in the realm of library and information sciences.

Research Interest

Ms. Farwa Taqi’s research interests span various domains within library and information sciences. She is particularly intrigued by human-computer interaction and design, information practices and seeking behaviors, usability evaluation and assessment, mis/disinformation, and cloud applications. With a focus on understanding how individuals interact with technology and information systems, she seeks to explore the usability and user satisfaction of digital platforms and services. Additionally, Ms. Taqi aims to investigate the impact of technological advancements on information access and dissemination, particularly in the context of information-seeking behaviors. She is also passionate about addressing the challenges posed by mis/disinformation in the digital age and is interested in exploring strategies for promoting information literacy and critical thinking. Furthermore, she intends to examine the role of cloud applications in facilitating information management and access in academic and organizational settings. Through her research, Ms. Farwa Taqi seeks to contribute to advancing knowledge in library and information sciences while addressing contemporary challenges in the field.

Award and Honors

Ms. Farwa Taqi has garnered prestigious awards and honors throughout her academic and professional journey. She achieved first positions and earned gold medals for her exemplary performance in her Masters in Communication Studies and MPhil in Information Management. Her dedication to academic excellence is further evidenced by the scholarships she received during her educational pursuits. In addition to her academic achievements, Ms. Taqi has been recognized for her active participation in webinars and trainings, notably receiving certificates for her contributions. Furthermore, she has been acknowledged for her exceptional performance and lasting contributions in book acquisition, as well as for her outstanding achievements in delivering library services and managing events at Quaid-e-Azam Library. These awards underscore Ms. Taqi’s commitment to excellence and her significant contributions to the fields of communication studies and library science.

Research Skills

Ms. Farwa Taqi possesses a comprehensive set of research skills honed through her academic and professional experiences. She excels in conducting thorough literature reviews, synthesizing existing knowledge, and identifying gaps in research. Proficient in various data collection methods, including surveys and interviews, she ensures the acquisition of accurate and reliable data. Ms. Taqi demonstrates adeptness in data analysis techniques, employing both quantitative and qualitative methods to derive meaningful insights. Moreover, she exhibits strong research design capabilities, from formulating precise research questions to developing robust methodologies. Ethical considerations are paramount in her work, as she ensures research activities adhere to ethical standards and regulations. Collaborative by nature, Ms. Taqi thrives in multidisciplinary teams, leveraging diverse expertise to address complex research questions effectively. Her effective communication skills enable her to disseminate research findings through written reports, presentations, and academic publications, contributing significantly to the advancement of knowledge in her field.