Minkyung Lee | Analytics and Reporting | Best Researcher Award

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Minkyung Lee | Analytics and Reporting | Best Researcher Award

Ms Minkyung Lee Myongi Hospital, South Korea

Dedicated to advancing medical knowledge, she pursued a Doctor of Philosophy at the Catholic University of Korea from 2018 to 2022, following her master’s degree. With a focus on internal medicine, she completed a fellowship in Endocrinology and Metabolism at Sungkyunkwan University’s Kangbuk Samsung Hospital from 2013 to 2015. Transitioning into academia, she assumed the role of Assistant Professor at Myongji Hospital, Hanyang University College of Medicine, starting in 2015. Throughout her career, she has remained committed to internal medicine, specializing in endocrinology and metabolism, engaging in research and scholarly pursuits to enhance patient care and medical practices.

Education:

From 2002 to 2008, she pursued her graduation at Catholic Kwandong University College of Medicine. Following this, between 2015 and 2018, she undertook her Master of Medical Science degree at the Catholic University of Korea, specializing in the Department of Medicine. During this period, she delved deeper into her medical studies, honing her skills and knowledge in the field. Building upon her master’s degree, she continued her academic journey from 2018 to 2022, pursuing a Doctor of Philosophy at the Catholic University of Korea within the Department of Medicine. Throughout her doctoral studies, she engaged in rigorous research and scholarly endeavors, contributing to the advancement of medical knowledge and practices. Her dedication and commitment to academic and professional excellence are evident in her educational trajectory, spanning from undergraduate to postgraduate studies. With each milestone, she has demonstrated a profound commitment to her field, equipped with a wealth of knowledge and expertise to make meaningful contributions to the medical community.

šŸŒ Profile Links:

Experience:

From 2009 to 2013, she completed her residency at the Department of Internal Medicine in Myongji Hospital. Following her residency, she pursued a fellowship from 2013 to 2015 at the Department of Internal Medicine, specifically focusing on the Division of Endocrinology and Metabolism at Sungkyunkwan University’s Kangbuk Samsung Hospital. Building upon her fellowship training, she transitioned into an academic role, assuming the position of Assistant Professor in the Division of Endocrinology and Metabolism within the Department of Internal Medicine at Myongji Hospital, Hanyang University College of Medicine starting in 2015. Throughout her career trajectory, she has dedicated herself to the field of internal medicine with a specialization in endocrinology and metabolism. Her residency and fellowship experiences have equipped her with the necessary skills and knowledge to provide comprehensive care to patients while her current role as an Assistant Professor allows her to impart her expertise to medical students and residents. She continues to contribute to the advancement of medical knowledge and patient care within her institution, demonstrating a commitment to excellence in academic medicine.

Honors and Awards:

She achieved significant recognition for her research endeavors, including being honored with the 1st Young Excellent Abstract Award of JAS 2023, a testament to the quality and impact of her scholarly contributions. Her dedication and innovation in the field were further acknowledged through funding support from the NRF (National Research Foundation of Korea), evident in grants numbered 2022R1F1A061069 and 2021R1A2C2013890. These grants not only validated the merit of her research proposals but also provided vital resources to advance her investigations and make meaningful contributions to the scientific community. In addition to these prestigious accolades, she was also bestowed with the 2021 Myongji Hospital Excellent Study Award, underscoring her commitment to excellence in healthcare research. Through her diligent efforts and exemplary achievements, she has demonstrated exceptional promise and leadership in her respective field. Her receipt of these awards and funding underscores her outstanding capabilities as a researcher and her potential to further advance knowledge and innovation in her chosen area of study.

Publications:

  1. Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults Published By : 2024
  2. Cumulative exposure to metabolic syndrome in a national population-based cohort of young adults and sex-specific risk for type 2 diabetes Cited By : 1, Published By : 2023
  3. Type 2 Diabetes and Its Association With Psychiatric Disorders in Young Adults in South Korea Published By : 2023
  4. Effect of low-dose tadalafil once daily on glycemic control in patients with type 2 diabetes and erectile dysfunction: a randomized, double-blind, placebo-controlled pilot studyĀ Cited By : 5, Published By : 2022
  5. Factors Associated with Body Weight Gain among Korean Adults during the COVID-19 PandemicĀ  Cited By : 8, Published By : 2022
  6. Sodiumā€“Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Scoreā€“Matched Cohort Study. Diabetes Care 2021; 44:2419ā€“2426 Published By : 2021
  7. Changes in metabolic syndrome status affect the incidence of end-stage renal disease in the general population: a nationwide cohort study Ā Cited By : 8, Published By : 2021
  8. Sodiumā€“Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Scoreā€“Matched Cohort Study Cited By : 10, Published By : 2021
  9. Thyroid hormone profile and its prognostic impact on the coronavirus disease 2019 in korean patients Cited By : 16, Published By : 2021
  10. Weight change and microvascular outcomes in patients with new-onset diabetes: A nationwide cohort study Cited By : 8, Published By : 2021

Vishal Trivedi | Analytics and Reporting | Best Researcher Award

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Vishal Trivedi | Analytics and Reporting | Best Researcher Award

Prof Vishal Trivedi IIT Guwahati, IndiaĀ 

He completed his BSc in Biology from the University of Lucknow, India, in 1999, followed by an MSc in Biochemistry from the same university, where he graduated as a Gold medalist in 2000. Continuing his academic journey, he pursued his PhD as a student at the Department of Molecular & Structural Biology at the Central Drug Research Institute, Lucknow, India, from 2001 to 2005. Afterward, he embarked on a Post-Doc position at the Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA, working with Prof. Axel Nohturfft from 2005 to 2006.

Education:

In 1999, he earned his BSc in Biology from the University of Lucknow, Lucknow, India, laying the foundation for his academic pursuits. Building upon his undergraduate studies, he pursued an MSc in Biochemistry from the University of Lucknow, where he distinguished himself as a Gold medalist in 2000. Driven by a passion for research, he embarked on a journey toward his PhD, which he completed in 2005 at Jawaharlal Nehru University, New Delhi, India. His doctoral research was conducted at the Central Drug Research Institute, Lucknow, India, reflecting his commitment to exploring the frontiers of science. Throughout his academic journey, he demonstrated a remarkable dedication to advancing his field, acquiring a comprehensive understanding of biology and biochemistry. His achievements signify not only his academic prowess but also his perseverance and dedication to scientific inquiry. With a solid foundation in biological sciences and an impressive academic track record, he continues to contribute to the advancement of knowledge in his field, leaving an indelible mark on the scientific community.

šŸŒ Profile Links:

Experience:

He began his academic journey as a PhD student at the Department of Molecular & Structural Biology, Central Drug Research Institute, Lucknow, India, from 2001 to 2005. Following this, he pursued Post-Doctoral research at the Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA, under the guidance of Prof. Axel Nohturfft, from 2005 to 2006. Continuing his research pursuits, he undertook another Post-Doc position at the Molecular Oncology Research Institute, Tufts Medical Centre, Tufts University, Boston, MA, USA, working with Prof. Athan Kuliopulos from 2006 to 2009. In 2009, he joined the Indian Institute of Technology-Guwahati, Guwahati, Assam, India, as an Assistant Professor in the Department of Biotechnology, where he served until 2014 when he was promoted to Associate Professor. In June 2018, he further advanced his academic career by assuming the role of Professor in the Department of Biosciences and Bioengineering at the Indian Institute of Technology-Guwahati, Guwahati, Assam, India.

Honor and Awards:

He was honored with the Prof P. S. Krishnan Gold Medal from the University of Lucknow, India, in 2000, followed by a Junior Research Fellowship from the Council of Scientific and Industrial Research, India, in 2001. In 2002, he successfully cleared the Graduate Aptitude Talent Examination. Continuing his academic journey, he received a Senior Research Fellowship from the Council of Scientific and Industrial Research, India, in 2003, along with the Best Publication Award from the Central Drug Research Institute, Lucknow, India, in the same year. His achievements were further recognized with the Young Scientist Award from the Society of Biological Chemistry, India, in 2005, and subsequent honors including the Young Scientist Award from the Department of Atomic Energy, Government of India, in 2010, and the Young Scientist Award from the National Academy of Sciences-India (NASI) in 2011.

Publications:

  1. Crystal Structure of Binary and Ternary Complexes of Serine Hydroxymethyl-transferase from B.Stearothermophilus: Insights into the Catalytic Mechanism Cited By : 72, Published By : 2002
  2. Structure-Based Drug Design : Synthesis, Crystal Structure, Biological Evalution and Docking Studies of Mono- and Bis-Benzo[b] Oxepines as Non-steroidal estrogens Cited By : 28, Published By : 2003
  3. Role of Lys-226 in the Catalytic Mechanism of Bacillus Stearothermophilus Serine Hydroxymethyl-transferase ā€“ Crystal StructureĀ  and Kinetic Studies. Cited By : 5, Published By : 2005
  4. Purification and Biochemical Characterization of a Heme Containing Peroxidase from the Human Parasite Cited By : 11, Published By : 2005
  5. Mechanism of Horseradish Peroxidase – Catalyzed Heme Oxidation and Polymerization (Ī²–Hematin formation) Cited By : 9, Published By : 2005
  6. Clotrimazole Inhibits Hemo- Peroxidase of P. falciparum and Induces Oxidative Stress : Proposed Antimalarial Mechanism of Clotrimazole.Ā  Cited By : 56, Published By : 2005
  7. Differential Requirements for Actin Polymerization, Calmodulin andĀ  Ca2+ Define Distinct Stages of Lysosome/Phagosome Targeting Cited By : 19, Published By : 2006
  8. Immunoglobin G Signaling Activates Phagosome/Lysosome Targeting. Cited By : 42, Published By : 2008Ā 
  9. A Cell-Free Scintillation Proximity Assay for Studies on Lysosome-to-Phagosome Targeting Published By : 2007
  10. MUC1 Oncoprotein activates the IkB kinase Ī² Complex and Constitute NF-ĪŗB Signaling Published By : 2007

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

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Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Prof Guangxia Xu Guangzhou University, China

Engaged in research on big data security and intelligent analysis, network security and control, and blockchain technology and applications. Holds a bachelor’s degree in computer applications, master’s degree in software engineering, and Ph.D. in computer science and technology from Chongqing University, with a postdoctoral fellowship from Chongqing University’s Communication and Information Engineering. Currently a professor at Chongqing University of Posts and Telecommunications, she serves as the Executive Deputy Director of the Chongqing Engineering Laboratory for Network and Information Security Technology and the Chongqing Key Laboratory of Cyberspace and Information Security. A senior member of the China Computer Federation (CCF), member of the Blockchain Special Committee, ACM member, and IEEE senior member. Expert evaluator for the National Natural Science Foundation, the Ministry of Science and Technology, and various institutions in Chongqing. Over the past decade, she has led numerous national and provincial research projects, published extensively, and holds multiple patents.

Education:

She is a distinguished female academic born in 1974, holding a Ph.D., professorship, and serving as a doctoral supervisor. She is recognized as a leading talent in technological innovation in Chongqing, China. Her expertise lies in the research areas of big data security and intelligent analysis, network security and management, and blockchain technology and applications. She earned her Bachelor’s degree in Computer Applications, Master’s degree in Software Engineering, and Ph.D. in Computer Science and Technology from Chongqing University. She also completed her postdoctoral research in Communication and Information Engineering at Chongqing University. As an accomplished scholar, she has enriched her research experience as a visiting scholar at Stevens Institute of Technology in the United States, focusing on big data analytics. Currently, she holds the position of Professor in the Software School at Chongqing University of Posts and Telecommunications. Additionally, she serves as the Executive Deputy Director of the Engineering Laboratory for Network and Information Security Technology and the Key Laboratory of Network Space and Information Security in Chongqing Municipality. Moreover, she leads the innovation team responsible for big data security and intelligent analysis technology in Chongqing Municipality.

šŸŒ Profile Links:

Experience :

She is a senior member of the China Computer Federation (CCF) with membership number 33651M and a member of the Blockchain Special Committee. Additionally, she is an ACM member with membership number 4577936 and an IEEE senior member with membership number 95603944. She serves as an expert evaluator for the National Natural Science Foundation and the Ministry of Science and Technology, as well as a project review expert for various institutions in Chongqing. She holds leadership positions in several organizations, including Vice Chairman of the Chongqing Information Security Association and Vice Chairman of the Chongqing Blockchain Alliance. She also contributes as a reviewer for prestigious journals such as IEEE Internet of Things, ACM Computing Surveys, and Digital Communications and Networks. Moreover, she is actively involved in conference organization, serving as the General Chair of ICBCTIS2021 (International Conference on Blockchain Technology and Information Security) and as a Program Committee Member for various workshops and conferences in the field of cybersecurity and data science.

Publications:

  1. SDN-based data transfer security for Internet of Things Cited By : 119, Published By : 2017
  2. Improvement of the DPoS consensus mechanism in blockchain based on vague sets Cited By : 104, Published By : 2019
  3. A survey for mobility big data analytics for geolocation prediction Cited By : 73, Published By : 2016
  4. A social emotion classification approach using multi-model fusion Cited By : 58, Published By : 2020
  5. Cross-domain sentiment aware word embeddings for review sentiment analysis Cited By : 43, Published By : 2021
  6. A collaborative filtering recommendation algorithm based on user confidence and time context Cited By : 41, Published By : 2019
  7. A certificateless signcryption mechanism based on blockchain for edge computing Cited By : 37, Published By : 2022
  8. A blockchain-empowered federated learning in healthcare-based cyber physical systems Cited By : 29, Published By : 2022
  9. Fixed degree of decentralization DPoS consensus mechanism in blockchain based on adjacency vote and the average fuzziness of vague value Cited By : 29, Published By : 2021
  10. UAVā€™s agricultural image segmentation predicated by clifford geometric algebra Cited By : 29, Published By : 2019

 

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

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Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Dr Adnan Amin Institute of Management Sciences Peshawar, Pakistan

AdnanĀ Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively. In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573). Dr. Adnanā€™s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCistā€™21 workshop (LCBUDAMLT), the session chair of the ICITAā€™22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATAā€™23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Education:

He completed his Ph.D. in Computer Science with a specialization in Data Mining & Machine Learning from the Center for Excellence in IT at the Institute of Management Sciences, Peshawar, Pakistan, in March 2023. His research focused on developing an adaptive learning approach for customer churn prediction using naĆÆve Bayes. Prior to his Ph.D., he earned his MS in Computer Science with the highest 1st class honors and distinction from the same institution in May 2015, where he conducted research on a similar topic. He also holds an M.Sc. in Computer Science from the University of Peshawar, which he completed with a Grade of A+ in March 2008.

šŸŒ Profile Links:

Experience:

He has been serving as a lecturer at the Institute of Management Sciences in Peshawar, Pakistan, since November 2015. In this role, he teaches both graduate and undergraduate students and leads IM DigiSol, the institute’s in-house software house. Additionally, he holds the position of Web & Database Administrator (BPS-17) at the Directorate of Information Technology, Government of KP, where he spearheads the computerization efforts of the Special Branch Police Department and Counter Terrorism Department. Prior to this, he worked as an I.T/ERP Trainer at Rehman Medical Institute & Hospital in Peshawar, Pakistan, from 2012. He also served as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, Afghanistan, from 2009 to 2011, as part of a World Bank-funded project implemented through Maxwell Stamp PLC, London. In this capacity, he provided teaching support to undergraduate students.

Publications:

  1. Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study Cited By : 294, Published By : 2016
  2. Customer churn prediction in the telecommunication sector using a rough set approach Cited By : 258, Published By : 2017
  3. Customer churn prediction in telecommunication industry using data certainty Cited By : 232, Published By : 2018
  4. Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods Cited By : 88, Published By : 2019
  5. Churn prediction in telecommunication industry using rough set approach Cited By : 51, Published By : 2015
  6. Customer churn prediction in telecommunication industry: with and without counter-example Cited By : 40, Published By : 2014
  7. Just-in-time customer churn prediction in the telecommunication sector Cited By : 39, Published By : 2020
  8. Just-in-time customer churn prediction: With and without data transformation Cited By : 30, Published By : 2018
  9. A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction Cited By : 29, Published By : 2015
  10. Compromised user credentials detection in a digital enterprise using behavioral analytics Cited By : 27, Published By : 2019

 

Suhad Abdallah | Statistics | Women Researcher Award

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Suhad Abdallah | Statistics | Women Researcher Award

Assist Prof Dr Suhad Abdallah King Khalid University, Saudi Arabia

With a Ph.D. earned in 2016 from Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade, she has demonstrated a strong academic foundation. Currently affiliated with King Khalid University, she has been involved in quantitative research methods, particularly focusing on applied statistics in media and communication during her tenure at Tabouk University from 1435 to 1436. Her dedication to statistical research underscores her commitment to contributing to the advancement of knowledge in her field.

Education:

She completed her Ph.D. in 2016 at Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade. Prior to that, she earned a Masterā€™s degree in applied statistics from Nile Valley University – Faculty of Graduate Studies in 2011. Her academic journey began with a Bachelorā€™s degree in Mathematics/Physics from Nile Valley University, Faculty of Science and Education, in 2004. With a solid foundation in mathematics and statistics, she is dedicated to advancing knowledge in her field through rigorous research and academic pursuits.

šŸŒ Profile Links:

Experience:

She has been actively engaged in teaching roles across various Saudi universities. From 1437 until the present, she has been contributing her expertise to King Khalid University. Prior to that, she taught at Tabouk University from 1435 to 1436, Najran University from 1434 to 1435, Hael University from 1433 to 1434, and Shaqra University from 1432 to 1433. Her extensive experience in academia demonstrates her commitment to education and her versatility in adapting to different academic environments.

Publications:

  1. Biophotonic sensor for swift detection of malignant brain tissues by using nanocomposite YBa2Cu3O7/dielectric material as a 1D defective photonic crystal Published By : 2023

  2. MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect Published By : 2023

  3. Unravelling the conductivity behaviour of thermally stable Li2Oā€“ Bi2O3ā€“B2O3ā€“P2O5Ā glasses embedded with V2O5Ā  Published By : 2023

  4. Enhanced humidity sensing stability of Dy3+-doped Mg-Rb ferrites for room temperature operatable humidity sensor applications Published By : 2023

  5. First-principles calculations to investigate structural, electronic and magnetic anisotropy energy of ZnFe2O4 spinel ferrite for spintronics applications Published By : 2023

  6. NLO and white light emission in AuNPs reinforced Li2Oā€“Bi2O3ā€“B2O3ā€“P2O5 glasses: Role of surface plasmonic resonance AuNPs Published By : 2023

  7. On new diverse variety analytical optical soliton solutions to the perturbed nonlinear Schrƶdinger equation Published By : 2023

 

Paulraj D | Big Data Analytics, Block Chain Technologies, Machine Learning

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Dr Paulraj D –Ā  Leading Researcher in Big Data Analytics, Block Chain Technologies, Machine Learning

Congratulations, Dr Paulraj D, on winning the esteemed BestĀ ResearcherĀ AwardĀ from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Paulraj D, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar University of Florida, United States. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

šŸ‘©ā€šŸ« Professional Summary:

Dedicated and student-centered Professor with expertise in Service Oriented Architecture (SOA) and Artificial Intelligence (AI) – Machine Learning, Deep Learning, Cloud Computing, and Big Data. A committed and engaging educator, recognized for exceptional lecturing skills in Computer Science and Engineering subjects. Commended for sustaining effective learning environments through well-prepared classes, relevant assignments, and consistently achieving classroom management and academic goals. An intelligent and charismatic educator committed to helping students accomplish their academic goals.

šŸŒ Profile Links:

šŸ” Skills:

  • Faculty Communication
  • Curriculum and Syllabus Planning and Development
  • Technology-based Curriculum Development
  • Board of Study Member
  • Performance Assessment
  • Classroom Management
  • Academic Research and Analysis
  • Student Research Guidance
  • Online Learning Tools
  • Thesis Advisement
  • Student Counseling

šŸ“š Education:

In pursuit of academic excellence and a profound understanding of Computer Science and Engineering, I earned my Ph.D. from Anna University, Chennai, India, in 2012. Building upon this foundation, I obtained a Master’s degree (M.E.) in Computer Science and Engineering from Anna University in 2004, further enriching my knowledge and expertise in the field. My educational journey began with a Bachelor’s degree (B.E.) in Computer Science and Engineering from Bangalore University, Bangalore, India, in 1993. These educational milestones collectively reflect my enduring commitment to advancing my skills and knowledge in the dynamic realm of Computer Science and Engineering.

šŸ‘©ā€šŸŽ“ Experience:

  • Professor (Jun 15, 2022 ā€“ Present): Department of Computer Science and Engineering, R.M.K Engineering College (NAAC A+), Chennai, India.
  • Professor & Head of the Department (Nov 23, 2016 ā€“ Jun 15, 2022): Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai, India.
  • Professor (Nov 2012 ā€“ Nov 2016): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Associate Professor (Jun 2009 ā€“ Nov 2012): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Software Engineer (Jul 1995 ā€“ Aug 2001): Geosoft Technologies (TVM), Ltd., Technopark, Trivandrum, India.
  • Software Engineer (Oct 1993 ā€“ Jun 1995): Al Nimar Enterprises, Muscat, Sultanate of Oman.

šŸ† Accomplishments:

Being a dedicated member of the Internal Quality Assurance Cell reflects my commitment to fostering excellence in every aspect of our institution’s functioning. In the capacity of the NIRF (National Institutional Ranking Framework) Coordinator, I play an instrumental role in positioning our institution strategically to achieve notable rankings. Moreover, as the Single Point of Contact (SPOC) for IIT-M under the National Programme on Technology Enhanced Learning (NPTEL), I facilitate seamless communication and collaboration.

šŸ“Š Research:

  1. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model Ontology-Based Matchmaking of Semantic Web Services”…
  2. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model-Based Atomic Service Discovery and Composition Of Composite Semantic Web Services Using Web Ontology Language For Service (Owl-S)”…
  3. D. Paulraj, Swamynathan, S., Daniel Chandran, Balasubadra, K And Vigilson Prem, M., “Service Composition And Execution Plan Generation of Composite Semantic Web Services Using Abductive Event Calculus”…

šŸ‘©ā€šŸ’¼ Responsibilities at Present Institution:

  • Professor of Computer Science and Engineering.
  • Anna University Recognized Research Supervisor.
  • Coordinator Internal Hackathon.
  • Sports Convenor.
  • Institution Level NBA Coordinator.
  • IQAC Member.
  • NPTEL SPOC.
  • External NBA Committee Auditor (QIS College of Engineering, Ongole, Andhra Pradesh).

šŸ† Awards and Honors:

  • 2017: National Level Award for Review Coordinator, National level selection procedure Dr.Kalam Educational Trust.
  • 2012: Men Engineers Award, IET, Chennai Network.
  • 2012: Er.D.A.Rajan Promotional Award, IET, Chennai Network.
  • 2005: Board of Study Member, Kannur University.
  • 2004: Technical Advisor, Registrar of Co-Operative Societies, Govt. of Kerala.