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

Eric Holland | Big Data Analytics | Best Researcher Award

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Prof Dr. Eric Holland, Big Data Analytics, Best Researcher Award

Prof Dr. Eric Holland at Fred Hutch Cancer Center, United States

Professional Profile

Scopus Profile
Google Scholar Profile

🌟 Summary

Eric Charles Holland is a distinguished researcher and academician specializing in neuro-oncology, currently serving as a Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA. With extensive experience spanning clinical practice and translational research, he has made significant contributions to understanding and treating brain tumors.

🎓 Education

Eric Charles Holland pursued an academic journey marked by excellence and dedication to biomedical sciences. He earned his Bachelor of Science degree in Chemistry from Miami University in Oxford, OH, from 1977 to 1981, setting a solid foundation in the fundamentals of chemical sciences. Continuing his academic pursuits, Holland completed his PhD in Biochemistry & Molecular Biology at the University of Chicago from 1981 to 1985, where he engaged deeply in the molecular mechanisms underlying biological processes. Following his PhD, he further expanded his expertise by obtaining an MD in Medicine from Stanford University between 1985 and 1990, thereby integrating clinical insights with his strong research background.

💼 Professional Experience

Eric Charles Holland is a distinguished figure in neuro-oncology with a robust professional trajectory spanning prestigious institutions and significant leadership roles. He currently holds the position of Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA, a role he has held since 2013. Previously, he served as the Director of the Nancy and Buster Alvord Brain Tumor Center at the University of Washington, Seattle, WA, from 2013 to 2019. Prior to that, he was an Attending Surgeon at Memorial Hospital for Cancer and Allied Diseases in New York, NY, from 2006 to 2013, where he also held an Associate Professorship at Cornell University from 2000 to 2006. His career is distinguished by his contributions to advancing neurosurgical techniques and his leadership in multidisciplinary research initiatives aimed at improving treatments for brain tumors.

🔬 Research Interests

Eric Charles Holland is renowned for his pioneering research in neuro-oncology, focusing particularly on gliomas, the most common type of brain tumor. His research spans from basic molecular biology to translational studies aimed at developing innovative therapies. Holland is deeply engaged in understanding the genetic and molecular mechanisms that drive glioma formation and progression, utilizing advanced techniques such as transgenic models to simulate human disease conditions. His work also delves into the complex interactions within the tumor microenvironment and their impact on treatment outcomes. Holland’s interdisciplinary approach integrates molecular biology, genetics, and clinical research, aiming to accelerate the translation of scientific discoveries into effective therapies for patients with brain tumors.

📖 Publication Top Noted

Paper Title: CSF-1R inhibition alters macrophage polarization and blocks glioma progression
    • Authors: Stephanie M Pyonteck, Leila Akkari, Alberto J Schuhmacher, Robert L Bowman, Lisa Sevenich, Daniela F Quail, Oakley C Olson, Marsha L Quick, Jason T Huse, Virginia Teijeiro, Manu Setty, Christina S Leslie, Yoko Oei, Alicia Pedraza, Jianan Zhang, Cameron W Brennan, James C Sutton, Eric C Holland, Dylan Daniel, Johanna A Joyce
    • Journal: Nature medicine
    • Year: 2013
Paper Title: A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle
    • Authors: Moritz F Kircher, Adam De La Zerda, Jesse V Jokerst, Cristina L Zavaleta, Paul J Kempen, Erik Mittra, Ken Pitter, Ruimin Huang, Carl Campos, Frezghi Habte, Robert Sinclair, Cameron W Brennan, Ingo K Mellinghoff, Eric C Holland, Sanjiv S Gambhir
    • Journal: Lecture Notes in Networks and Systems
    • Year: 2012
    •  citations: 1157
Paper Title: Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO
    • Authors: Victoria E Clark, E Zeynep Erson-Omay, Akdes Serin, Jun Yin, Justin Cotney, Koray Özduman, Timuçin Avşar, Jie Li, Phillip B Murray, Octavian Henegariu, Saliha Yilmaz, Jennifer Moliterno Günel, Geneive Carrión-Grant, Baran Yılmaz, Conor Grady, Bahattin Tanrıkulu, Mehmet Bakırcıoğlu, Hande Kaymakçalan, Ahmet Okay Caglayan, Leman Sencar, Emre Ceyhun, A Fatih Atik, Yaşar Bayri, Hanwen Bai, Luis E Kolb, Ryan M Hebert, S Bulent Omay, Ketu Mishra-Gorur, Murim Choi, John D Overton, Eric C Holland, Shrikant Mane, Matthew W State, Kaya Bilgüvar, Joachim M Baehring, Philip H Gutin, Joseph M Piepmeier, Alexander Vortmeyer, Cameron W Brennan, M Necmettin Pamir, Türker Kılıç, Richard P Lifton, James P Noonan, Katsuhito Yasuno, Murat Günel
    • Journal: Science
    • Year: 2013
    •  citations: 856
Paper Title: The PTEN-regulating microRNA miR-26a is amplified in high-grade glioma and facilitates gliomagenesis in vivo
    • Authors:Jason T Huse, Cameron Brennan, Dolores Hambardzumyan, Boyoung Wee, John Pena, Sara H Rouhanifard, Cherin Sohn-Lee, Carlos Le Sage, Reuven Agami, Thomas Tuschl, Eric C Holland
    • Journal: Proceedings of the National Academy of Sciences
    • Year: 2009
    •  citations: 664
Paper Title: Intratumoral heterogeneity of receptor tyrosine kinases EGFR and PDGFRA amplification in glioblastoma defines subpopulations with distinct growth factor response
  • Authors: Nicholas J Szerlip, Alicia Pedraza, Debyani Chakravarty, Mohammad Azim, Jeremy McGuire, Yuqiang Fang, Tatsuya Ozawa, Eric C Holland, Jason T Huse, Suresh Jhanwar, Margaret A Leversha, Tom Mikkelsen, Cameron W Brennan
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2012
  •  citations: 611

Serena Nik-Zainal | Big Data Analytics | Best Researcher Award

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Prof. Serena Nik-Zainal, Big Data Analytics, Best Researcher Award

Professor at University of Cambridge, United Kingdom

Professional Profile

Google Scholar Profile
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🎓 Education 

  • University of Cambridge
    • B.A. (hons) – First, Physiology, 1998
    • M.B., B.Chir., Medicine/Surgery, 2000
  • Royal College of Physicians
    • M.R.C.P., Medicine, 2003
  • Wellcome Trust Sanger Institute
    • Ph.D., Cancer Genomics, 2012
  • Royal College of Physicians Specialist Register
    • Certification, Clinical Genetics, 2013

🌟 Personal Statement 

After earning a first-class degree in preclinical science and a medical degree from the University of Cambridge, sponsored by Petroliam Nasional Berhad Malaysia (PETRONAS) and as a Fellow of the Cambridge Commonwealth Trust, I specialized in Clinical Genetics. I have been an Honorary Consultant in Clinical Genetics at Cambridge University Hospitals NHS Foundation Trust since February 2013. My Ph.D. at the Wellcome Sanger Institute in 2012 focused on using next-generation sequencing (NGS) technology to explore cancer, leading to significant advancements in understanding tumor biology and mutational signatures. My current research integrates computational and experimental approaches to advance cancer genomics, developing machine-learning-based clinical algorithms and participating in large-scale projects like the UK 100,000 Genomes Project.

🏢 Positions and Honors 

Positions and Employment

  • Medical Student, University of Cambridge (1995-2000)
  • Pre-registration House Officer, East Anglian Deanery (2001-2002)
  • Senior House Officer, Medicine, East Anglian Deanery (2002-2004)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2004-2009)
  • Wellcome Clinical Research Training Fellow, Wellcome Sanger Institute (2009-2012)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2012-2013)
  • Wellcome Intermediate Clinical Research Training Fellow, Wellcome Sanger Institute (2013-2017)
  • Career Development Fellow, Wellcome Sanger Institute (2014-2017)
  • CRUK Advanced Clinician Scientist, University of Cambridge (2017-2021)
  • NIHR Research Professor of Genomic Medicine and Bioinformatics, University of Cambridge (2021-present)

Professional Memberships and Other Experience

  • Member, British Society of Genetic Medicine (2013-present)
  • EACR Ambassador (2015-present)
  • Member, Various Scientific Advisory Boards and Committees (2017-present)
  • Honorary NHS Consultant in Clinical Genetics, Cambridge University Hospital (2013-present)

Honors

  • Fellow of the Academy of Medical Sciences UK (2023)
  • Foulkes Foundation Medal UK (2021)
  • Sir Francis Crick Medal and Lecture from the Royal Society UK (2021)
  • Highly-Cited Researcher’s List Clarivate (2020)
  • EMBO Elected Fellow (2020)
  • Dr Josef Steiner Cancer Research Award (2019)
  • CRUK Pioneer Award (2016)
  • William Bate Hardy Prize (2014)
  • CRUK Future Leaders Prize (2014)
  • Wellcome-Beit Prize (2013)
  • AACR Scholar-in-training Award (2013)
  • EACR Susan G. Komen Prize (2012)
  • Robin Winter Prize (2012)

📚 Research Support 

Ongoing Research Support

  • NHSE Driver Project (Jan 2023-Mar 2024)
  • Breast Cancer Research Foundation (Oct 2022-ongoing)
  • CRUK/NIH Grand Challenge eDyNAmic (Jun 2022-May 2027)
  • UKRI DARE Sprint Exemplar (Jan 2022-Oct 2022)
  • NIHR Research Professorship (Dec 2021-Nov 2026)
  • Basser Gray Foundation Award (Dec 2020-Nov 2024)
  • Josef Steiner Award (Jun 2019-May 2023)

Completed Research Support

  • CRUK Early Detection Project Award (Jun 2019-May 2023)
  • CRUK Grand Challenge Award (May 2017-Apr 2024)
  • CRUK Advanced Clinician Scientist Award (Feb 2017-Oct 2022)
  • CRUK Pioneer Award (Oct 2016-Nov 2020)
  • Wellcome Trust Strategic Award (Sept 2013-July 2019)
  • Wellcome-Beit Prize (May 2013-May 2018)
  • Wellcome Intermediate Clinical Research Fellowship (Feb 2013-Jan 2017)

Beyond science, I have shared insights on women in STEM and my journey as a physician-scientist through essays in renowned journals.

📖 Publication Top Noted:

Paper Title: The patterns and dynamics of genomic instability in metastatic pancreatic cancer
  • Authors: Peter J Campbell, Shinichi Yachida, Laura J Mudie, Philip J Stephens, Erin D Pleasance, Lucy A Stebbings, Laura A Morsberger, Calli Latimer, Stuart McLaren, Meng-Lay Lin, David J McBride, Ignacio Varela, Serena A Nik-Zainal, Catherine Leroy, Mingming Jia, Andrew Menzies, Adam P Butler, Jon W Teague, Constance A Griffin, John Burton, Harold Swerdlow, Michael A Quail, Michael R Stratton, Christine Iacobuzio-Donahue, P Andrew Futreal
  • Journal: Nature
  • Year:  2010
  • citations: 1560
Paper Title: Pan-cancer analysis of whole genomes
  • Authors: Dendy Adanta, Imam Syofii, Dewi Puspita Sari, Apri Wiyono
  • Journal: Nature
  • Year:  2020
  •  citations: 1736
Paper Title: Mutational signatures associated with tobacco smoking in human cancer
  • Authors:Ludmil B Alexandrov, Young Seok Ju, Kerstin Haase, Peter Van Loo, Iñigo Martincorena, Serena Nik-Zainal, Yasushi Totoki, Akihiro Fujimoto, Hidewaki Nakagawa, Tatsuhiro Shibata, Peter J Campbell, Paolo Vineis, David H Phillips, Michael R Stratton
  • Journal: Science
  • Year:  2016
  •  citations: 1034
Paper Title: Clock-like mutational processes in human somatic cells
  • Authors: Ludmil B Alexandrov, Philip H Jones, David C Wedge, Julian E Sale, Peter J Campbell, Serena Nik-Zainal, Michael R Stratton
  • Journal: Nature genetics
  • Year:  2015
  •  citations: 990
Paper Title: Heterogeneity of genomic evolution and mutational profiles in multiple myeloma
  • Authors: Niccolo Bolli, Hervé Avet-Loiseau, David C Wedge, Peter Van Loo, Ludmil B Alexandrov, Inigo Martincorena, Kevin J Dawson, Francesco Iorio, Serena Nik-Zainal, Graham R Bignell, Jonathan W Hinton, Yilong Li, Jose MC Tubio, Stuart McLaren, Sarah O’Meara, Adam P Butler, Jon W Teague, Laura Mudie, Elizabeth Anderson, Naim Rashid, Yu-Tzu Tai, Masood A Shammas, Adam S Sperling, Mariateresa Fulciniti, Paul G Richardson, Giovanni Parmigiani, Florence Magrangeas, Stephane Minvielle, Philippe Moreau, Michel Attal, Thierry Facon, P Andrew Futreal, Kenneth C Anderson, Peter J Campbell, Nikhil C Munshi
  • Journal: Nature communications
  • Year: 2014
  •  citations: 963

Nadia Dominici – Big Data Analytics – Best Researcher Award 

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Dr. Nadia Dominici - Big Data Analytics - Best Researcher Award 

Vrije universitiet Amsterdam - Netherlands

Author Profile

Early Academic Pursuits

Dr. Nadia Dominici's academic journey reflects a profound commitment to understanding the intricacies of human movement sciences. Beginning with her undergraduate studies in Physics at the University of Rome "La Sapienza," her fascination with the mechanics of motion laid the foundation for her future endeavors. This background equipped her with a solid understanding of fundamental principles, which she later applied to her doctoral studies in Neuroscience at the University of Rome "Tor Vergata." Here, she delved into the neurophysiology of locomotor development in children, a pivotal area that would shape her career trajectory.

Professional Endeavors

Dominici's professional journey is marked by a series of strategic moves, each contributing to her expertise in human movement sciences. Her postdoctoral fellowships at esteemed institutions such as the Swiss Federal Institute of Technology Lausanne (EPFL) and the University of Zurich allowed her to collaborate with leading experts in the field, including Professors G. Courtine and F. Lacquaniti. These experiences broadened her perspective and honed her skills, preparing her for roles as a Senior Research Fellow and Assistant Professor at the Vrije Universiteit Amsterdam.

Contributions and Research Focus

Dominici's research focus is centered on unraveling the complexities of human locomotion, particularly in developmental stages. Her seminal work has contributed significantly to understanding the neural mechanisms underlying walking, from toddlers' first steps to the rehabilitation of individuals with neurological disorders. Her interdisciplinary approach, combining neuroscience, biomechanics, and physiology, has yielded groundbreaking insights into motor control and rehabilitation strategies.

Accolades and Recognition

Dominici's contributions to the field have been recognized through numerous awards and honors. Notably, she received the Suzanne Klein-Vogelbach Prize for the Research of Human Movement and the IgNobel Prize in Physics for her groundbreaking discoveries. These accolades underscore the significance of her research and its impact on both scientific and public discourse.

Impact and Influence

Dominici's work has had a profound impact on the field of human movement sciences, shaping our understanding of locomotor development and rehabilitation. Her innovative approaches have inspired researchers worldwide, fostering collaborations and driving advancements in neurorehabilitation. Through her mentorship and academic supervision, she continues to cultivate the next generation of scientists, ensuring a legacy of excellence and innovation.

Legacy and Future Contributions

As a Visiting Professor at New York University and an Associate Professor at Vrije Universiteit Amsterdam, Dominici remains at the forefront of research in human movement sciences. Her ongoing projects, including involvement in prestigious grants and supervisory roles, attest to her enduring commitment to advancing knowledge in the field. With a legacy built on curiosity, collaboration, and excellence, Dominici's future contributions are poised to further revolutionize our understanding of human locomotion and its implications for health and rehabilitation.

Notable Publication