Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

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Dr. Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Doctorate at Infosys/Aspen University, Arizona, United States

Dr. Madan Mohan Tito Ayyalasomayajula is a distinguished professional with a remarkable career in computer science and technology. His extensive background includes significant roles as a Senior Technology Architect, Research Scholar, and Industry Expert. Dr. Tito’s contributions span across academia, industry, and technology innovation, showcasing a profound impact on various domains such as artificial intelligence, machine learning, and system architecture.

Profiles

Scopus Profile
Orcid Profile

🌳Academic Background 

Dr. Ayyalasomayajula is a seasoned technology architect and research scholar with over 20 years of experience in system architecture, cloud technologies, big data, and AI/ML. He holds a Doctor of Science in Computer Science from Aspen University and has contributed extensively to both academia and industry through his work in various roles, including as a Senior Technology Architect at Infosys Ltd., and previously as an Enterprise Architect at Walgreens and Toyota Motors North America.

🎓 Education

Dr. Madan Mohan Tito Ayyalasomayajula holds a Doctor of Science in Computer Science from Aspen University, Phoenix, Arizona (Aug 2019 – May 2024). He completed his Master of Technology in Computer Science & Engineering at Osmania University (2003 – 2005) and his Master of Computer Applications from Osmania University (1998 – 2001). His undergraduate degree, a Bachelor of Science, is from Andhra University (1994 – 1997).

🏅 Memberships

He is a Senior Member of IEEE and IEEE Computer Society, and a member of MIET (The Institute of Engineering & Technology), AET (International Academy of Engineering & Technology), and IACSIT (International Association of Computer Science and Information Technology). Additionally, he is affiliated with IASA Global (International Association for Software Architects), IAENG (International Association of Engineers), and serves as an Editorial Member for ESP Journal of Engineering & Technology Advancements. His memberships extend to IOASD (International Organization for Academic and Scientific Development) and IET – AI TN Committee as a Research Officer, and he is also a Technical Advisory Board Member at Aspen University, Arizona, USA.

💡 Profile

Dr. Tito is a Doctor of Science in Computer Science and a Senior Technology Architect with over 20 years of experience. He is a Research Scholar, Author, and Peer Reviewer, with expertise in building and implementing machine learning models, leveraging natural language processing and computer vision techniques, and applying predictive analytics using AI and ML technologies. His experience spans Architecture, System Analysis, Development, and Project Planning, with notable skills in Azure & AWS cloud technologies, Big Data, IoT, and Advanced Databases.

📰 Media Articles

He has written media articles on topics including the power of machine learning in production, the role of AI in managing big data, and the future of manufacturing with Explainable AI. His other articles discuss AI’s potential in diagnostics and address the skepticism surrounding AI advancements.

🏆 Awards

Dr. Tito has been recognized with the Aegis Graham Bell Award for his work on Revenue Plus and Incremental Revenue Through Incremental Sales (IRIS) products at Mahindra Comviva.

🛠️ Patents

He holds patents for various innovative technologies, including predictive maintenance systems, smart healthcare devices using AI, and early prediction algorithms for kidney diseases.

💼 Work Experience

He has held significant positions at Infosys Ltd. as a Senior Technology Architect, Walgreens / OmTek as an Enterprise Architect, Toyota Motors North America as an Enterprise Cloud Solutions Architect, and Mahindra Comviva as a Principal Architect. His roles have involved delivering digital services, architectural design, system optimization, and leading R&D initiatives across multiple domains.

🎤 Presentations and Exhibitions

Dr. Tito has been a guest speaker and keynote presenter at various conferences and workshops, including GIET University, SR University, and international AI conferences. He has also participated in podcasts and interviews, sharing his expertise on AI and technology.

🏅 Judging

He has served as a judge at numerous science and technology events, including the Ohio State Science Day, Regeneron ISEF, and Technovation for Girls. Additionally, he contributes as a peer reviewer for various scholarly journals and conferences.

🧑‍🏫 Mentorships

Dr. Tito is actively involved in mentoring through platforms such as Mentoring Club, ADPList, and the Global Mentoring Initiative.

📖 Publication

Explainable Artificial Intelligence (XAI) for Emotion Detection
    • Authors: Ayyalasomayajula, M.M.T.; Ayyalasomayajula, S.; Pandey, J.K.
    • Journal/Book: Book chapter in DOI: 10.4018/979-8-3693-4143-8.ch010
    • Year: 2024
Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments
    • Authors: Dodda, S.; Kumar, A.; Kamuni, N.; Ayyalasomayajula, M.M.T.
    • Journal/Conference: 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)
    • Year: 2024
Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine
    • Authors: Ayyalasomayajula, M.M.T.; Tiwari, A.; Arora, R.K.; Khan, S.
    • Journal/Conference: 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2024)
    • Year: 2024
Optimizing Photometric Light Curve Analysis: Evaluating Scipy’s Minimize Function for Eclipse Mapping of Cataclysmic Variables
    • Author: Dr. Madan Mohan Tito Ayyalasomayajula
    • Journal: Journal of Electrical Systems
    • Year: 2024
Reddit Social Media Text Analysis for Depression Prediction: Using Logistic Regression with Enhanced Term Frequency-Inverse Document Frequency Features
    • Authors: Madan Mohan Tito Ayyalasomayajula; Akshay Agarwal; Shahnawaz Khan
    • Journal: International Journal of Electrical and Computer Engineering (IJECE)
    • Year: 2024

Agus Nursalim | Innovation in Data Analysis | Excellence in Innovation

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Dr. Agus Nursalim | Innovation in Data Analysis | Excellence in Innovation

Doctorate at Universitas Pendidikan Indonesia, Indonesia

Profile

Scopus Profile

🌟Academic Background

Dr. Drs. Agus Nursalim, M.T., is a highly esteemed academic and researcher specializing in interior design. He is a professor at the Department of Art Education, Faculty of Arts and Design at Universitas Pendidikan Indonesia (UPI). With over two decades of experience, Dr. Nursalim has made significant contributions to both academia and industry. He is an active member of the Association of Arts Education Study Programs (APPSR), contributing to the advancement of art education in Indonesia.

🎓 Education

Dr. Nursalim holds a Ph.D. in Art Education from Universitas Negeri Semarang, Indonesia. He completed his Master’s degree in Architecture from Institut Teknologi Bandung and earned his Bachelor’s degree in Interior Design from Universitas Negeri Surakarta Sebelas Maret. His academic journey has been marked by a commitment to integrating traditional and contemporary design principles.

💼 Professional Experience

Dr. Nursalim has had a diverse professional career. Since 1993, he has served as a professor at UPI, where he teaches courses such as Geometric Drawing, Form Drawing, and Western Art History. In addition to his academic role, he has been a Civil Engineering Consultant at PT MEGA POWER TEKNINDO in Jakarta since 2004. His industry experience includes roles as a Staff Planner at PT NATA PILAR PUSAKA and PT Hoemar Tjokrodiatmo in Jakarta and as a Kitchen Steward at Stamford Hotel in Sydney, Australia. His early career began as a planner at Studio Widagdo and Partners in Bandung.

🔍 Research Interests

Dr. Nursalim’s research focuses on the intersection of interior design and cultural studies. His work explores the creative responses of batik artisans to global market changes, the sociocultural dynamics of coastal communities, and the negotiation of women’s roles in traditional performances. Recent projects include:

  • Digital Marketing and Batik Export Acceleration: Investigating strategies to promote Indonesian batik during the COVID-19 pandemic.
  • Creative Responses of Batik Artisans in Cirebon: Studying how artisans adapt to global market trends.
  • Cultural Identity and Women’s Roles in Coastal Communities: Exploring the cultural construction of coastal societies.

Dr. Nursalim has received funding from prestigious organizations, including the Ministry of Research, Technology, and Higher Education of Indonesia (Kemenristek Dikti), and has published numerous articles in reputable journals.

📖 Publication

La teak: Painted animation as an educational media maintaining tree sustainability AR 3D filter-based

    • Authors: Nurlaila, Nursalim, A., Suryadi, A.
    • Journal: Digital Applications in Archaeology and Cultural Heritage
    • Year: 2024

BATIK MASK MANUFACTURING TECHNOLOGY AS AN APPEARANCE EQUIPMENT AND FOR THE PREVENTION OF THE SPREAD OF COVID-19

    • Authors: Nursalim, A., Sobandi, B., Sya’Bany, D.M.
    • Journal: Journal of Engineering Science and Technology
    • Year: 2023

INVESTIGATING THE COMPLEX RELATIONSHIP BETWEEN ENVIRONMENTAL AND FINANCIAL PERFORMANCES

    • Author: Nursalim, A.
    • Journal: Procedia Environmental Science, Engineering and Management
    • Year: 2022

Batik AR ver.1.0: Augmented Reality application as gamification of batik design using waterfall method

    • Authors: Sobandi, B., Wibawa, S.C., Triyanto, T., Nursalim, A., Santosa, H.
    • Journal: Journal of Physics: Conference Series
    • Year: 2021

Agus Nursalim, Innovation in Data Analysis, Best Researcher Award 

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Mr. Agus Nursalim, Innovation in Data Analysis, Best Researcher Award 

Mr. Agus Nursalim at Universitas Pendidikan, Indonesia

Profile

Scopus Profile

🌟Academic Achievements 

Dr. Ana Sevilla-Pavón is renowned for her exceptional academic achievements. 🎓 She holds a prestigious Fulbright scholarship from Harvard University and has conducted research stays at UC Berkeley. Her dedication to advancing knowledge in computer-assisted language learning, gender equality in education, and global citizenship is reflected in her numerous publications and leadership roles in international projects. 🌍📚

🎓 Educational Background

I hold a Bachelor's Degree in Interior Design from Universitas Negeri Surakarta Sebelas Maret in Surakarta, Indonesia, which I completed in 1989. Following this, I pursued a Master’s Degree in Architecture at Institut Teknologi Bandung in Bandung, Indonesia, graduating in 2005. My academic journey culminated with a Doctorate in Art Education from Universitas Negeri Semarang in Semarang, Indonesia, which I completed in 2018. This diverse educational background has equipped me with a rich blend of design, architecture, and art education expertise.

💼 Professional Experience 

Elena Sandri boasts a diverse and accomplished professional background. 💼 As the Director of the Podiatry Department at Universidad Católica de Valencia San Vicente Mártir, Elena has made significant contributions to healthcare education. Her extensive experience includes roles in business administration, physiology, and biomedical physics, showcasing her commitment to integrating health and educational innovations. 🩺📈

🔬Research Interests 

Eleni Nanou’s research is at the cutting edge of Materials Physics and Technology - Photonics. 🔬 Her work focuses on Laser Induced Breakdown Spectroscopy (LIBS) applied to food analysis. Eleni’s expertise in spectroscopic data analysis and machine learning algorithms highlights her dedication to advancing food safety and quality through innovative scientific techniques. 🍎🔍

📖 Publication

La teak: Painted Animation as an Educational Media Maintaining Tree Sustainability AR 3D Filter-Based
  • Authors: Nurlaila, Nursalim, A., Suryadi, A.
  • Journal: Digital Applications in Archaeology and Cultural Heritage
  • Year: 2024
Batik Mask Manufacturing Technology as an Appearance Equipment and for the Prevention of the Spread of COVID-19
  • Authors: Nursalim, A., Sobandi, B., Sya’Bany, D.M.
  • Journal: Journal of Engineering Science and Technology
  • Year: 2023
Investigating the Complex Relationship Between Environmental and Financial Performances
  • Author: Nursalim, A.
  • Journal: Procedia Environmental Science, Engineering and Management
  • Year: 2022
Batik AR ver.1.0: Augmented Reality Application as Gamification of Batik Design Using Waterfall Method
  • Authors: Sobandi, B., Wibawa, S.C., Triyanto, T., Nursalim, A., Santosa, H.
  • Journal: Journal of Physics: Conference Series
  • Year: 2021

Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

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Dr. Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

Dr. Hanna Wilczura-Wachnik at University of Warsaw, Poland

 Profiles

 Orcid Profile
 Scopus Profile
👩‍🔬 Academic Background

Hanna Wilczura-Wachnik is an adiunkt at the University of Warsaw, specializing in the study of colloids, microemulsions, and the interactions of biologically active molecules with membranes. Her research combines both theoretical and experimental approaches to advance our understanding of these complex systems.

🎓 Education

Hanna earned her MSc in 1977 from the University of Warsaw. She pursued her PhD at the same institution, which she completed in 1992. Her doctoral thesis, supervised by Prof. Teresa Kasprzycka-Guttman, was titled “The Enthalpy of Mixing in Associated Binary Systems of Pyridine and its Methyl Derivatives + n-Alkanes.”

💼 Professional Experience

Her postdoctoral research took place at the University of Tennessee under the guidance of Prof. Alexander Van Hook, focusing on liquid-liquid equilibrium (LLE) in polymer solutions. Hanna has also participated in short-term internships at various institutions, including the Technical University of Denmark, Syleyman Demirel University in Turkey, and Syddansk Universitet in Denmark. Since 2010, her research has centered on colloids, microemulsions, micellar phases, and the behavior of biologically active molecules in and through membranes.

🔬 Research Interests

Hanna’s research interests include the study of colloids, microemulsions, and micellar phases. She is particularly focused on the interfacial migration of biologically active molecules, such as antioxidants, and their interactions with models of natural membranes.

📜 Patents

Hanna is a co-inventor of Polish Patent No. 279254, issued in 1989, for a method of citric acid evolution from aqueous solutions. This patent was developed in collaboration with T. Kasprzycka-Guttman, B. Semeniuk, and M. Myśliński.

 

📖 Publication Top Noted

Interactions between quercetin and surfactants/solvents
    • Authors: Güzeloğlu, A., Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: Results in Chemistry
    • Year: 2024
α-Tocopherol/AOT/alkane/water system: Calorimetric studies
    • Authors: Karpiuk, I., Wilczura-Wachnik, H., Myśliński, A.
    • Journal: Journal of Thermal Analysis and Calorimetry
    • Year: 2018
Size and diffusion phenomena of AOT/alcohol/water system in the presence of morin by dynamic light scattering
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2015
Interaction between morin and AOT reversed micelles – Studies with UV-vis at 25°C
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2014
Effects of surfactants on the characteristics and biosensing properties of polyaniline
    • Authors: Kuczynska, A., Uygun, A., Kaim, A., Yavuz, A.G., Aldissi, M.
    • Journal: Polymer International
    • Year: 2010
UV-vis investigation on the hydrocarbon length effect on the α-tocopherol solubility in an AOT/n-alkane/water system
    • Authors: Wilczura-Wachnik, H., Gregorczyk, I., Myslinski, A.
    • Journal: Journal of Solution Chemistry
    • Year: 2010

Konstantinos Kolomvatsos | Pervasive Data Science | Best Researcher Award

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Assist Prof Dr. Konstantinos Kolomvatsos, Pervasive Data Science, Best Researcher Award

Assist Prof Dr. Konstantinos Kolomvatsos at University of Thessaly, Greece

Professional Profile

Scopus  Profile

Summary

Konstantinos (Kostas) Kolomvatsos is an Assistant Professor in the Department of Informatics and Telecommunications at the University of Thessaly. He has extensive experience in academia, research, and administrative roles, with a strong focus on intelligent systems, pervasive computing, and data analysis. He has held various academic positions and led numerous national and international research projects, contributing significantly to the field of computer science.

Education

  • Ph.D. in Computer Science
    Department of Informatics and Telecommunications, University of Athens
    GPA: Excellent
  • M.Sc. in Computer Science
    Department of Informatics and Telecommunications, University of Athens
    GPA: 8.48/10
  • B.Sc. in Informatics
    Department of Informatics, Athens University of Economics and Business
    GPA: 7.20/10 (Top 10% of class)

Professional Experience

  • Assistant Professor (6/2020 – Present)
    Department of Informatics and Telecommunications, University of Thessaly
  • Teaching Staff, Researcher (2017 – 6/2020)
    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens
  • Instructor in Postgraduate Programmes (2016 – 2020)
    University of Thessaly
  • Adjunct Lecturer (2014 – 2019)
    Department of Electrical and Computer Engineering, University of Thessaly
  • Teaching Assistant (2001 – 2004)
    Department of Forestry and Natural Environment Administration, Technical University of Larissa

Research Interests

Konstantinos Kolomvatsos’s research interests include:

  • Intelligent systems and pervasive computing
  • Data mining and machine learning
  • Edge computing and distributed systems
  • AI-enabled healthcare services
  • Semantic and distributed databases

Research Activities

Konstantinos Kolomvatsos has been the principal investigator for multiple European and national research projects, including:

  • ESCORT: AI Enabled Healthcare Services During Cross-Border Medical Emergencies and Regular Patient Services (Horizon Europe)
  • TRACE: Integration and Harmonization of Logistics Operations (Horizon Europe)
  • SILVANUS: Integrated Technological and Information Platform for Wildfire Management (H2020)
  • PLATON: Development of Support System for Doctors and Cancer Patients (National Funding)
  • ELLIOT: Intelligent Nutrition Assistant (H2020 Shapes Project)
  • SaveWoodenBoats: National Funding

He has also contributed as a researcher in various other European projects like ARESIBO, OCEAN2020, ROBORDER, and RAWFIE.

Konstantinos Kolomvatsos is the founder and scientific leader of the Intelligent Pervasive Systems (iPRISM) Research Group and the co-founder and director of the Research Lab ‘Intelligent Systems for Orchestrating Pervasive Computing Applications’ (METIS Lab). His work includes significant contributions to the development and scheduling of academic courses in his field.

📖 Publication Top Noted

An intelligent sequential fraud detection model based on deep learning

    • Authors: Zioviris, G., Kolomvatsos, K., Stamoulis, G.
    • Journal: Journal of Supercomputing
    • Volume: 80
    • Issue: 10
    • Pages: 14824–14847
    • Year: 2024

Autonomous proactive data management in support of pervasive edge applications

    • Authors: Kolomvatsos, K., Anagnostopoulos, C.
    • Journal: Future Generation Computer Systems
    • Volume: 155
    • Pages: 108–120
    • Year: 2024

Cluster based similarity extraction upon distributed datasets

    • Authors: Moustakas, T., Kolomvatsos, K.
    • Journal: Cluster Computing
    • Volume: 27
    • Issue: 3
    • Pages: 2917–2929
    • Year: 2024

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

    • Authors: Lioliopoulos, P., Oikonomou, P., Boulougaris, G., Kolomvatsos, K.
    • Journal: Sensors
    • Volume: 24
    • Issue: 7
    • Article Number: 2273
    • Year: 2024

Data management and selectivity in collaborative pervasive edge computing

    • Authors: Papathanasiou, D., Kolomvatsos, K.
    • Journal: Computing
    • Status: Article in Press
    • Year: 2024

Dr. Marta Campi | Statistical Methods | Best Researcher Award

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Dr. Marta Campi, Statistical Methods, Best Researcher Award 

Doctareat at Institut Pasteur, France

Professional Profile:

Scopus Profile 
Google Scholar Profile
Orcid Profile

Summary:

Dr. Marta Campi is a Postdoctoral Researcher at Institut Pasteur with expertise in Statistical Signal Processing and Machine Learning. She specializes in developing computational optimal speech enhancement techniques for real-time application in hearing aids, particularly tailored for individuals with auditory neuropathies. Her research integrates personalized cues into model calibration for improved efficacy. With a background in financial computing and econometrics, Marta brings a diverse skill set to her research endeavors.

Education:

  • PhD in Statistical Science and Signal Processing, University College London, UK
  • MPhil in Statistics, University College London, UK
  • MRes in Financial Computing, University College London, UK
  • MSc in Financial Econometrics, University of Essex, UK
  • BSc in Mathematical Statistics and Data Management, Universita degli studi di Genova, Italy

Professional Experience:

Dr. Marta Campi has amassed a diverse and extensive professional background, spanning various research, academic, and industry roles across multiple countries. As a Postdoctoral Researcher at Institut Pasteur in Paris, France, she focuses on advancing signal processing techniques for auditory applications, particularly in the development of computational optimal speech enhancement methods for hearing aids. Marta’s expertise extends to her role as a Research Engineer at Telecom Paris, where she contributed to implementing machine learning geolocation methods for wireless device networks.

Her dedication to education is evident through her tenure as a Teaching Assistant at University College London, where she tutored courses in probability, statistics, and programming methods. Marta has also lent her expertise as a Research Assistant at Heriot-Watt University in Edinburgh, Scotland, and City University of London, enriching projects in green finance and copula functions within insurance applications, respectively.

She broadened her research horizons through international collaborations, serving as a Visiting Research Fellow at the Institute of Statistical Mathematics in Tokyo, Japan, and a Visiting Research Student at Universite Clermont Auvergne in Clermont-Ferrand, France. Marta’s industry experience includes roles as a Senior Analyst at Fortlake Asset Management in Sydney, Australia, and as a Consultant at InRobin in Edinburgh, UK, where she contributed to predictive modeling and asset maintenance monitoring.

Her earlier experience as a Junior Analyst at COSTA CROCIERE S.P.A in Genova, Italy, further enriched her analytical skills and understanding of demand forecasting and price optimization. Throughout her career, Marta has demonstrated a commitment to interdisciplinary research and innovation, bridging the gap between academia and industry to address complex challenges in statistical signal processing and machine learning.

Research Interest :

Dr. Campi’s research interests span statistical signal processing, machine learning, and auditory neuroscience, with a focus on developing innovative solutions for speech enhancement in hearing aids. She is particularly interested in leveraging personalized cues and novel signal processing techniques to address auditory neuropathies and improve the quality of life for individuals with hearing impairments. Marta’s interdisciplinary approach combines her expertise in statistical science with real-world applications, aiming to bridge the gap between cutting-edge research and clinical practice in audiology.

Publication Top Noted: