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SRM University-AP is pleased to announce that Dr Anil K. Suresh, Associate Professor in the Department of Biological Sciences, has been awarded a DBT grant for his project entitled “Pilot-scale ultra-efficient fixative sewage dye-degradation by our ‘3D-megacatalyst’ generated using intact eggshell waste”.

About the Project:

Catalysis is widely used in various industrial and pharmaceutical processes to fasters the production of the desired end products. The use of inert matrices or frameworks is emerging as a “supported catalysts” arena with the potential for efficient reuse and recovery of the catalyst. We have recently generated a wide area supported catalyst utilising intact eggshell bio-waste, and the process is autogenic, facile, cost-efficient and entirely biodegradable. This supported megacatalyst can be effortlessly removed from the reaction by hand.

The current DBT-funding through Accelerated Translational Grant for Commercialization (ATGC) program is to support the technological reediness of our project for its commercialisation as a measure of Technology Readiness Level (TRL), an estimation technologies maturity and readiness for its utilisation in the commercial market. By demonstrating proof-of-concept laboratory studies, we are currently at TRL-6, and through this project, we will demonstrate pilot-scale studies for reaching the TRL-9 (Market/Operational level).

The main objectives of the proposal are:

1. Demonstrating large-volume degradations of sewage dyes at 500 L to 1000 Litres volume capacities in custom-built batch reactors.

2. Gram-scale hydrogenation of nitroarenes for the production of ~500 grams of pharmaceutical derivatives.

Social Implications of the project by Dr Anil K. Suresh:

Thousands of litres of harmful textile, paper sewage dyes that are corrosive and toxic to the environment and are unintendedly released can now be degraded into detoxified colourless by-products and water by using our “Au@megacatalyst”.

Pharmaceutically important precursors such as 4-aminophenol, propargyl amines can be produced in milligrams of quantities by using “Au@megacatalyst”, which otherwise are expensive and hard to synthesise. And most importantly, such precursors are currently being procured from China and other countries that can be avoided, and indigenous make-in-India can be conceptualised using our catalyst.

Dr Anil K. Suresh would be the principal investigator of this project, with a total outlay of Rs. 31 lacs over two years.

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The Department of Computer Science and Engineering at SRM University-AP is organising the third lecture in the Distinguished Lecture Series on January 19, 2022, at 03.00 pm through virtual mode.

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Prof Dr Marco Aiello, Head of Service Computing Department, IAAS in the University of Stuttgart, Germany, will be the esteemed speaker elaborating on the topic “Who invented this? On the Origin of Disruptive Technologies”.

The birth and evolution of ICT have been constellated by radical and rapid innovation originating from all kinds of sources. The Internet resulted from an effort started by the American government, Bluetooth came from a large European company, and the Web sprouted from a personal project of a CERN employee. In this talk, I will pick from the short but incredibly dense history of ICT to reflect on the evolution of innovation under the lenses of amateurism versus large scale, professional designs. In doing so, my main attention will be devoted to the Internet, the Web, and Service-Oriented Architectures.

Biography of Prof Dr Marco Aiello, University of Stuttgart, Germany

Marco Aiello is a professor of Computer Science and Head of the Service Computing Department at the University of Stuttgart, Germany. An elected member of the European Academy of Sciences and Arts, he is an honorary professor of Distributed Systems at the University of Groningen, The Netherlands, where he was a faculty member from 2006 till 2018. He holds a PhD in Logic from the University of Amsterdam, the Habilitation in Applied Informatics from TU Wien, and a master degree in Engineering from the La Sapienza University of Rome. His research interests are in Service Computing, Smart Energy Systems, Smart Buildings, and Spatial Reasoning. He is a member of the Scientific Advisory Board for Informatics of the Lorentz Center, Leiden, The Netherlands and Steering committee Faculty of Exact Sciences, University of Modena and Reggio Emilia, Italy. He has been a board member of the start-up Nerdalize BV, The Netherlands and Visiting Fellow of Macquarie University, Australia.

He has authored over 190 peer-reviewed articles and several books, including two bestsellers, and the most recent “The Web Was Done by Amateurs: A Reflection on One of the Largest Collective Systems Ever Engineered” published by Springer-Nature. He is a steering committee chair of the Service-Oriented Computing and Applications (SOCA) Conference. He has delivered several invited/panel talks at reputed conferences and workshops. He is the Editorial Board of various reputed journals like Energy Informatics (Springer), Journal on Service-Oriented Computing and Applications (Springer), International Journal of Web Services Research (IJWSR), Annals of Computer Science and Information Systems. He was the Information Director of the Transactions on Computational Logic of the Association of Computing Machinery (ACM) from its foundation in 2000 until 2014. He has got several awards and recognitions. He has executed 12 research projects. Since 2006, he has been investigating Service-centric software engineering, Smart energy cities, Energy-aware buildings, Energy-aware data centres and many more.

Stay tuned, and don’t forget to participate in this invigorating session on January 19, 2022.

Padmaja Buggaveeti, an outstanding student from 3rd-year Computer Science Engineering at SRM University-AP, has won Best Paper (Third Prize) and a cash prize of Rs 10000 /- (Ten thousand rupees only) at the 4th ISEA Virtual International Conference on Security and Privacy 2021. Ms Padmaja, under the mentorship of her guide Dr V M Manikandan, presented a paper titled “A Novel Prediction Error Histogram Shifting-based Reversible Data Hiding Scheme for Medical Image Transmission” at the International Conference on Security and Privacy, sponsored by Information Security and Education Awareness Project Phase-II (ISEA-II) and organised by IIT (ISM) Dhanbad, India from October 27-30, 2021.

Abstract: In this paper, Ms Padmaja proposed a new prediction error histogram shifting-based reversible data hiding scheme that ensures a high embedding rate and lossless image recovery. The pixels in the images are categorised into two different classes: white pixels and black pixels based on a checkerboard pattern. To predict the black pixel value for finding the prediction, they used the average of three pixels out of 4-neighbourhood pixels, which are very close to the central pixel value. The prediction error histogram is considered for further data hiding through the histogram shifting approach. An efficient overflow handling technique is used for this. The proposed algorithms were implemented using Matlab-2020, and the experimental study of the proposed scheme is carried out on the standard medical images and natural images.

International Conference on Security and Privacy is a premier conference focused on information security and privacy. This year’s conference was sponsored by Information security and Education Awareness Project Phase-II (ISEA-II) and organised by IIT (ISM) Dhanbad, India, from October 27-30, 2021.

Prize Details: Best Paper (Third Prize) and a cash prize of Rs. 10000 /- (Ten thousand rupees only).

Let’s hear what Ms Padmaja says about her achievement!

I thank Dr V M Manikandan, Assistant Professor in the Department of Computer Science and Engineering, for his valuable guidance in this research work. Winning the best paper award and cash prize in a reputed conference, ISEA-ISAP, has strikingly boosted my confidence to do research. I am grateful to all the faculty members of the CSE Department for their kind support and encouragement throughout my study at SRM University-AP.

Taking your knowledge and solving real-world problems is the true intention of education. SRM University-AP is delighted to see Pavan Kumar Chinta achieve this aspiration and obtain $1200 Bounty from Microsoft Bug Bounty Program on November 13, 2021. The
Bounty of $1200 was presented to Pavan by Mr Jason Pessemier, Microsoft Security Program Manager.

Pavan Kumar Chinta has keen enthusiasm with Cyber Security as specialization in the Department of Computer Science and Engineering. Microsoft is not the only company that Pavan has managed to impress.

He has also reported Server-Side Request Forgery (SSRF) a high severity bug , in Mercedes Benz portal, and Groww by finding Broken Authentication and Security Misconfiguration. He was acknowledged by both the organisations and received swags from Groww.

Pavan has spared no space in his investigation of bugs. He was acknowledged by NCIIPC (A unit of NTRO), the Government of India, for discovering Sensitive Information Disclosure like PNR, Name, Mobile Number, etc., of the passengers in IRCTC’s authorised partner. He has also reported bug issues to GeeksforGeeks and Google.

Pavan expressed “Prof. T Ragunathan, (Associate Dean (Engineering) – School of Engineering and Sciences), guided me and encouraged to study the University’s Cyber Security structures as well. With constant guidance from Dr Priyanka, Assistant Professor, Computer Science Engineering, I was able to work with pentesting tools and develop reconnaissance methodologies. This lockdown helped me to discover and build myself. His short-term goal is to secure MAMAA (Meta, Apple, Microsoft, Amazon, and Google’s parent company, Alphabet).

This is an excellent start for a 3rd-year student. We hope to see the series of security risk investigations that began here to stay with him, and that he goes on to make tremendous achievements and makes the internet a safer space.

Research at SRM University-AP is always geared to top the solutions that we have to our current problems. One of the most enduring issues in the field of management is crisis management. The PRISM conference has found one of our faculty member’s solution to be most beneficial and awarded him with the Best Paper Presentation Award. Dr Vimal Babu, Associate Professor-SEAMS, has come up with a response that will not only help leaders manage crisis situations with increasing efficiency but also make it possible for them to thrive in the face of adversities.

About the paper:

The purpose of the present research is to understand how global pandemic forces shaped the leadership communication strategies of the managers working in the Information Technology (IT) industry in India, in turn, how their leadership communication strategies aided in achieving agile and authentic leadership communication in relation to their own employees. It studied the leadership communication strategies of managers which facilitated them to establish emotional connect with the employees working remotely during pandemic crisis.

Abstract:

An investigation of the major themes in leadership communication strategies during times of crisis is presented in this research. It applies thematic analysis (TA) as a qualitative method to investigate effective leadership communication strategies in crises to overcome employee-centric organisational issues. Major themes and sub-themes are linked together to grasp better understanding about qualitative data. As a result, a total of five major themes emerged. Findings reveal that HR managers must consider the impact on their employees’ well-being when making verbal communication and crafting messages for their teams during times of crisis. The research developed a conceptual framework for mapping out the major themes, viz. information consumption and news making; disinformation and narrative disruption; agile communication structures; striking the balance b/w humane and factual communication and leadership communication imperatives. The themes generated substantive theory featuring agile and authentic leadership communication for the managers. As organisational leaders, managers’ challenges and communication strategies during a crisis are discussed. Future research ideas are highlighted.

Social Implications:

As a result of this research, it is now possible to deal with crisis communication challenges of managers more effectively. To avoid reacting to disinformation, one must be able to recognise it when it appears in abundance in a short period of time and recognise it when it does not. Managers of the HR department are held in high regard by their employees, who look to them for guidance and support. An agile communication structure, such as clearly stated goals, lean approvals and clarity of purpose will have a big impact upon the designing of communication strategies initiated by organisational leaders, especially when the attempts are made to interact with the employees remotely. That being said, managers need to strike a balance between human and factual communication in order to develop trust, transparency, and cooperation with their employees.

Collaborators:

The present work has been successfully carried out with the contributions of the co-researchers of the research paper, viz. Dr. Anugamini Priya Srivastava, Symbiosis International University, Pune and Mr. Vipin Kumar, Project Management Professional, BT India.

Future:

The future research plans entail working in the area of employee sustainability, well-being and career development of the workforce along with crisis management.

SRM University-AP is pleased to announce that Dr Nimai Mishra, Assistant Professor, Department of Chemistry, SRM University-AP, Andhra Pradesh, along with his research group comprising of students pursuing PhD under him, Mr Rahul Singh, Mr Syed Akhil, and Ms V.G.Vasavi Dutt, has published a research article titled “Shell thickness-dependent photostability studies of green-emitting “Giant” quantum dots” in the journal Nanoscale Advances (The Royal Society of Chemistry) with an impact factor of ~4.533.

About the research:

Highly efficient green-emitting core/shell giant quantum dots have been synthesized through a facile “one-pot” gradient alloy approach. Furthermore, an additional ZnS shell was grown using the “Successive Ionic Layer Adsorption and Reaction” (SILAR) method. Due to the faster reactivity of Cd and Se compared to an analogue of Zn and S precursors it is presumed that CdSe nuclei are initially formed as core and gradient alloy shells simultaneously encapsulate the core in an energy-gradient manner and eventually thick ZnS shells were formed. Using this gradient alloy approach, we have synthesized four different sized green-emitting giant core-shell quantum dots to study their shell thickness-dependent photostability under continuous UV irradiation, and temperature-dependent PL properties of nanocrystals. There was a minimum effect of the UV light exposure on the photostability after a certain thickness of the shell. The QDs diameter of ≥ 8.5 nm shows substantial improvement in photostability compared to QDs with a diameter ≤ 7.12 nm when continuously irradiated under the strong UV light (8 W/cm2, 365 nm) for 48 h. The effect of temperature on the photoluminescence intensities was studied with respect to shell thickness. There were no apparent changes in PL intensities observed for the QDs ≥ 8.5 nm, on the contrary, for example, QDs with < 8.5 nm in diameter (for ~7.12 nm) show a decrease in PL intensity at higher temperatures ̴90°C.

More importantly, these results highlight the synthesized green-emitting gradient alloy QDs with superior optical properties can be used for highly efficient green emitters and are potentially applicable for the fabrication of green LEDs.

Read the full paper: https://pubs.rsc.org/en/content/articlelanding/2021/NA/D1NA00663K

The Department of Physics at SRM University-AP is organising a one-day symposium with national and international academicians on the theme Applications of Machine Learning Methods in Physics. The programme which will begin at 10.00 am on December 18, 2021, will deeply look into two domains of research, namely Particle Physics and Statistical Physics. Eminent experts from computer science and physics domains will deliver talks for a wider audience, especially for students of basic sciences and engineering streams. The event is going to be entirely through Online mode. Dr Amit Chakraborty and Dr Soumyajyoti Biswas from the Department of Physics, SRM University-AP are the conveners of the symposium.

Register here!

Programme Schedule of the Invited Lectures:

Time: 10.05 – 11.05 AM (IST)
Speaker: Prof Vineeth N Balasubramanian (IIT Hyderabad)
Title: Explainable Deep Learning: Overview, Trends and Challenges

Abstract: The last decade has seen rapid strides in Artificial Intelligence (AI) moving from being a fantasy to a reality that is a part of each one of our lives, embedded in various technologies. A catalyst of this rapid uptake has been the enormous success of deep learning methods for addressing problems in various domains including computer vision, natural language processing, and speech understanding. However, as AI makes its way into risk-sensitive and safety-critical applications such as healthcare, aerospace and finance, it is essential for AI models to not only make predictions but also be able to explain their predictions. This talk will introduce the audience to this increasingly important area of explainable AI, describe salient methods in explainable deep learning, discuss open challenges as well as present some of our recent research in this domain.

Time: 11.30 AM – 12.30 PM (IST)
Speaker: Dr Girish Varma (IIIT Hyderabad)
Title: Deep Generative Methods and Applications

Abstract: Generative methods deals with the modelling of complex high dimensional probability distributions. With the advent of deep neural networks, these methods have become more common with the discovery of new techniques like GANs. Such methods can learn to generate images, graphs etc even without using labelled data. In this talk, we will give some of the common deep generative modelling techniques like GANs, Variational Autoencoders, Normalizing Flows. We will also look at some example applications in Style Transfer, Super Resolution in Computer Vision, Conditional Generation of Molecules in Physics etc.

Time: 2.00 – 3.00 PM (IST)
Speaker: Dr Sanmay Ganguly (University of Tokyo, Japan)
Title: The Deep Relation Between Particle Physics and Machine Learning

Abstract: At the CERN Large Hadron Collider (LHC) experiment, trillions of protons get smashed with each other at very high energies every second. Remnants of this collision are collected and studied to infer what fundamental interactions are happening at the core. Analysing and extracting meaningful physics information out of this large data is a highly challenging statistical analysis, part of which has to be carried out in real-time. Modern deep learning techniques have brought a change in paradigm in the whole field, where it is observed that the application of ML truly impacts at all corners. In this presentation the speaker will try to give a general overview of the ongoing ML activities, mainly highlighting the areas in the context of LHC physics and shortly touch other branches of HEP.

Time: 3.30 – 4.30 PM (IST)
Speaker: Prof Lasse Laurson (Tampere University, Finland)
Title: Machine Learning Plastic Deformation of Crystals

Abstract: The speaker will present an overview of our recent efforts to apply machine learning to predict the fluctuating plastic deformation process of small crystals, mediated by the stress-driven motion of dislocations. To this end, we use machine learning to establish mappings between the initial state of a sample and the corresponding stress-strain curve, considering different loading protocols and geometries of the dislocation assembly. He will start with a discussion of machine learning the depinning process of edge dislocation pileups, after which he will consider the problem of machine learning-based prediction of the stress-strain response of two- dimensional systems of discrete dislocations subject to stress-controlled and strain-controlled loading.

Register soon and claim your seats at this one-day international online symposium organised by the Department of Physics, SRM University-AP!!

The Department of Mathematics is bringing to you the next thrilling edition of the Distinguished Lecture Series with Prof Ratnasingham Shivaji. Prof Shivaji will take the spotlight on December 10, 2021, at 7.30 pm IST and enlighten us about “A Comparison Result When the Forcing Terms are close in L^1 Norm.”

About the speaker:

Prof. Ratnasingham Shivaji received his PhD in Mathematics from Heriot-Watt University in Edinburgh, Scotland in 1981 and his B.S (first-class honours) from the University of Sri Lanka in 1977. He joined the University of North Carolina at Greensboro (UNCG) on July 1, 2011, as Head of the Department of Mathematics and Statistics and served in this position until July 31, 2019. Beginning in January of 2012, he was named H. Barton Excellence Professor. Prior to joining UNCG, he served for twenty-six years at Mississippi State University (MSU), where he was honoured as a W.L. Giles Distinguished Professor. In 2019, he was also named a Fellow of the American Mathematical Society. He is the recipient of the 2020 Mathematical Association of America (MAA) Southeastern Section Award for Distinguished University Teaching of Mathematics.

Prof. Shivaji’s area of specialization is partial differential equations, particularly in nonlinear elliptic boundary value problems. His research work has applications in combustion theory, chemical reactor theory, and population dynamics, and has been funded by the National Science Foundation and the Simon’s Foundation. Currently, he is serving as the PI on an NSF Math Ecology grant. He has authored one hundred and sixty research papers. He is a member of the Editorial Board of several mathematics journals.

Abstract:

This session would provide a unique opportunity to interact with such a distinguished personality in the field of mathematics. Please make the most of this exciting opportunity on December 10, 2021, at 7.30 pm IST.

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