IRC-SET 2021

Monitoring and Analysis for Parkinson Disease Patients.- An Eldercare Control System in IoT Cloud Environment .- Wideband Sinuous Antenna Design.- EEG-based Evaluation of Classifying Attention States between Single and Dual Tasks.- Nanotechnology for Remediation of Water Environment.- Elucidating the role of MAMDC2 in head and neck squamous cancer.- Predicting in vivo Drug-Drug Interactions between Rivaroxaban and Tyrosine Kinase Inhibitors arising from Mechanism-Based Inactivation of Cytochrome P450 3A4.- Low-Reynolds-number airfoil shape optimization using genetic algorithm with mode parameterization.- Personalized Guided Perceptual Learning.- Investigating the Public's Experiences and Knowledge of Communicating with People with Dementia.- The Study of Epidemic Model in the Context of Singapore.- From phenotypes to endotypes: Deciphering the immune signatures associated with atopic dermatitis (AD).- Synthesis and modification of LDHs for the adsorption of cationic and anionic dyes and phosphates.- Decitabine as a latency perturbing agent in Epstein-Barr virus (EBV) positive Natural Killer/T cell Lymphoma (NKTL).- Development of a First-aid Smart Assistant Device using IoT Technology and Augmented Reality.- AI Panorama Art of Proteins with Image Blending Deep Learning.- A study in Factors Affecting the Production and Properties of Biocellulose produced by Acetobacter Xylinum.- Synthesis of Magnetically-Responsive Photocatalytic CuBTC Metal-Organic-Frameworks (MOFs) for Degradation of Organic Textile Pollutants.- Object Motion Detection.- Spectral Analysis of Public Transport Networks.- Antimicrobial, Antioxidant, Toxicity and Phytochemical screening of Dieffenbachia camilla and the synthesis of a novel and green topical delivery method for it.- Epigenetic modification of fruitless in the protocerebrum influences male Drosophila courtship behaviour.- An Edge-based Dustbin for Smart Compacting and Segregating.- Self-supervised Learning with Deep Neural Networks for ComputerVision.- IoT-Enabled Smart Window With Environmental Sensors.- Synthesis of Magnetic Chitosan Hydrogel from crab shells as an Environmentally-friendly Adsorbent for Water Purification.- Electrochemical Treatment of an Effluent with Azo Dyes and Heavy Metals Using a Graphene-Coated Electrode.- Detection and Removal of Obstructions in Still Images Utilising Machine Learning.- Investigating the Application of the Separation Capabilities of a Zirconium MOF b-oriented MFI Zeolite Membrane.- Investigating the effects of herbs on reducing symptoms associated with schizophrenia in the model organism Caenorhabditis elegans.- Investigating the effect of sugarcane extract and lotus root extract on the growth of Lactobacillus spp. and its effect on microbial antagonism.

Dr. Victor Wang graduated from Loughborough University with a First in Aeronautical Engineering (B.Eng., 2008) before reading his Doctorate in Aerodynamics, specializing in Computational Fluids Dynamics (2012). His current research interest is in applied aerodynamics, using both computational and experimental methods to capture complex but interesting flow behaviors that can be applied to a wide range of engineering applications. Dr. Victor Wang is Member of the Royal Aeronautical Society and Senior Member of Institute of Engineers, Singapore.
Dr. Eyasu Getahun Chekole is currently a Research Fellow in Cybersecurity at Singapore University of Technology and Design. Previously, he was a Research Scientist in Cybersecurity at the Agency for Science, Technology, and Research (A*STAR) in Singapore, an Assistant Researcher in Cybersecurity at the Fondazione Bruno Kessler (FBK) in Italy, a Software Engineer at Femar Consulting s.r.l in Italy, and aSoftware Engineer at the Information Network Security Assurance (INSA) in Ethiopia. He received a Ph.D. in Computer Science from Singapore University of Technology and Design (in Singapore), an M.Sc. in Computer Science from University of Trento (in Italy), and a B.Sc. in Computer Science & IT from Arba Minch University (in Ethiopia). His research interests include software and system security, memory safety, industrial control and cyber-physical systems security, IoT security, applied cryptography, and Blockchain.  
Dr. Umayal Lakshmanan is a drug discovery scientist at Experimental Drug Development Centre, A*STAR (Agency for Science Technology and Research). She obtained her PhD from Yong Loo Lin School of Medicine, NUS. Her expertise is in Drug discovery projects in the fields of Oncology and Infectious diseases. She was project leader for several drug discovery collaboration projects with local and international Institutes and Universities. She sta